1

Huaizhen Qin, Ph.D.

i. CONTACT

Department of Epidemiology

College of Public Health and Health Professions and College of Medicine

University of Florida, Gainesville, FL 32611, USA

E-mail: hqin@ufl.edu

Phone: 352-294-8545

ii. EDUCATION

12/2011 Postdoctoral Research Associate: Focus on Genetic Epidemiology. Department of

Epidemiology and Biostatistics, Case Western Reserve University School of

Medicine, Cleveland, USA

05/2008 Doctor of Philosophy: Focus on Statistical Genetics. Department of Mathematical

Sciences, Michigan Technological University Sciences and Arts, Houghton, USA

07/2003 Postdoctoral Research: Focus on Survey Sampling & Econometrics. Beijing

Normal University School of Mathematical Sciences, Beijing, PR China

07/2001 Doctor of Philosophy: Focus on Survey Sampling. Chinese Academy of Sciences

Academy of Mathematics & System Science, Beijing, PR China

07/1998 Master of Science: Focus on Theoretical Statistics. Beijing Normal University

School of Mathematical Sciences, Beijing, PR China

iii. OTHER TRAINING

5-12/2017 Grant Writers’ Seminars & Workshops. Held by Dr. John D. Roberson

(www.grantcentral.com) at Tulane University SPHTM, New Orleans, LA, USA

2005-2007 Excellence in English Communication. Michigan Tech Multiliteracies Center in

the Walker Arts and Humanities Building. Michigan Technological University,

Houghton, USA

iv. PROFESSIONAL EXPERIENCE

07/2018- Research Assistant Professor, Department of Epidemiology, College of Public

Health and Health Professions and College of Medicine, University of Florida,

Gainesville, FL, USA

2

09/2016-

06/2018

Assistant Professor, Department of Global Biostatistics and Data Science, Tulane

University SPHTM, New Orleans, LA, USA

01/2012-

08/2016

Assistant Professor, Department of Biostatistics and Bioinformatics, Tulane

University SPHTM, New Orleans, LA, USA

01/2012- Adjunct Instructor, Department of Epidemiology and Biostatistics, Case Western

Reserve University School of Medicine, Cleveland

08/2003-

07/2004

Lecturer, Department of Probability and Statistics, Peking University School of

Mathematical Sciences, Beijing

2002-2003 Senior Research Associate, Department of Management Sciences, City University

of Hong Kong, Hong Kong

v. PROFESSIONAL MEMBERSHIPS

The American Society of Human Genetics (ASHG)

International Genetic Epidemiology Society (IGES)

vi. PUBLICATIONS

1. Peer-reviewed Publications († Corresponding author; ǂ Trainee; * Equal contributor)

1) Huaizhen Qin†, Weiwei Ouyangǂ and Jinying Zhao (2020). High-order association

mapping for expression quantitative trait loci. In: Xinghua Mindy Shi (1st edition):

eQTL Analysis. Methods in Molecular Biology. Volume 2082: 147–156. Springer

Protocols. Humana, New York, NY. ISBN 978-1-0716-0025-2.

https://doi.org/10.1007/978-1-0716-0026-9

2) Huaizhen Qin, Jinying Zhao, and Xiaofeng Zhu (2019). Identifying Rare Variant

Associations in Admixed Populations. Scientific Reports 9 (5458), 1–11.

doi.org/10.1038s41598-019-41845-3

3) Huaizhen Qin†, Tianhua Niu, and Jinying Zhao (2019). Identifying Multi-Omics

Causers and Causal Pathways for Complex Traits. Frontiers in Genetics 10 (110), 1–14.

doi: 10.3389/fgene.2019.00110

4) Huaizhen Qin† and Xiaofeng Zhu (2017). Calibrating population stratification in

association analysis. Robert Elston (2nd edition): Statistical Human Genetics. Methods

in Molecular Biology. Volume 1666: 441–453. Springer Protocols. Humana, New

York, NY. ISBN 978-1-4939-7273-9. doi.org/10.1007/978-1-4939-7274-6_21

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5) Weiwei Ouyangǂ, Xiaofeng Zhu, Huaizhen Qin† (2017). Detecting multiethnic rare

variants. Robert Elston (2nd edition): Statistical Human Genetics. Methods in Molecular

Biology, Volume 1666: 527–538. Springer Protocols. Humana, New York, NY. ISBN

978-1-4939-7273-9. doi.org/10.1007/978-1-4939-7274-6_26

6) Umber A, Killackey M, Paramesh A, Liu Y, Qin H, Atiq M, Lee B, Alper AB, Simon

E, Buell J, Zhang R (2017). A comparison of three induction therapies on patients with

delayed graft function after kidney transplantation. Journal of Nephrology 30 (2): 289–

295. doi.org/10.1007/s40620-016-0304-7

7) Weiwei Ouyangǂ,* Qiang Anǂ, Jinying Zhao, Huaizhen Qin†,* (2016). Integrating mean

and variance heterogeneities to identify differentially expressed genes. BMC

Bioinformatics 17 (497), 1–14. doi.org/10.1186/s12859-016-1393-y

8) Huaizhen Qin†, Weiwei Ouyangǂ (2016). Asymmetric risk of the Stein variance

estimator under a misspecified linear regression model. Statistics & Probability Letters

116, 94–100. doi.org/10.1016/j.spl.2016.04.019

9) Huaizhen Qin†, Weiwei Ouyangǂ (2016). Exploit the neglected heteroscedasticity in

genetics data. Annals of Biometrics & Biostatistics 3 (1): 1026, 1–4

10) Shaolong Caoǂ, Huaizhen Qin, Alexej Gossmann, Hong-Wen Deng, Yu-Ping Wang

(2016). Unified tests for fine scale mapping and identifying sparse high-dimensional

sequence associations. Bioinformatics 32(3): 330–337. doi.org/10.1093/ bioinformatics

/btv586

11) Huaizhen Qin†,*, Weiwei Ouyangǂ,* (2015). Statistical properties of gene-gene

correlations in omics experiments. Statistics & Probability Letters 97, 206–211.

doi.org/10.1016/j.spl.2014.11.026

12) Wenan Chen, Chunfeng Ren, Huaizhen Qin, Kellie J. Archer, Weiwei Ouyang,

Nianjun Liu, Xiangning Chen, Xingguang Luo, Xiaofeng Zhu, Shumei Sun, Guimin

Gao (2015). A generalized sequential Bonferroni procedure for GWAS in admixed

populations incorporating admixture mapping information into association tests.

Human Heredity 79 (2), 80–92. doi.org/10.1159/000381474

13) Shaolong Caoǂ, Huaizhen Qin, Hong-Wen Deng, Yu-Ping Wang (2014). A unified

sparse representation for sequence variant identification for complex traits. Genetic

Epidemiology 38 (8), 671-679. doi.org/10.1002/gepi.21849

14) Shaolong Caoǂ, Huaizhen Qin, Jian Li, Hong-Wen Deng and Yu-Ping Wang (2014).

Scaled sparse high dimensional tests for localizing sequence variants. BCB’ 14

Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology,

and Health Informatics. Pages 79–87. ISBN: 978-1-4503-2894-4. doi>10.1145/

2649387.2649405

4

15) Chao Xuǂ, Huaizhen Qin, Jian Li, Hong-Wen Deng (2014). Impact of the covariate

measurement error on meta-analysis of genome wide association studies. The 142nd

APHA Annual Meeting and Exposition (Nov. 15–19, 2014)

16) Enver Khan, Mary Killackey, Damodar Kumbala, Heather LaGuardia, Yongjun Liu,

Huaizhen Qin, Brent Alper, Anil Paramesh, Joseph Buell, Rubin Zhang (2014). Long-

term outcome of ketoconazole and tacrolimus co-administration in kidney transplant

patients. World Journal of Nephrology 3 (3): 107–113. doi: 10.5527/wjn.v3.i3.107

17) Shaolong Cao Caoǂ, Huaizhen Qin, Hong-Wen Deng and Yu-Ping Wang (2013). A

generalized sparse regression model with adjustment of pedigree structure for variant

detection from next generation sequencing data. BCB’ 13 Proceedings of the 4th ACM

Conference on Bioinformatics, Computational Biology and Biomedical Informatics.

ACM-BCB2013: 191–200. ISBN: 978-1-4503-2434-2 doi>10.1145/2506583.2506616

18) Huaizhen Qin, Xiaofeng Zhu (2012). Power comparison of admixture mapping and

direct association analysis in genome-wide association studies. Genetic Epidemiology

36(3):235–43. https://doi.org/10.1002/gepi.21616

19) Huaizhen Qin, Xiaofeng Zhu (2012). Allowing for population stratification in

association analysis. Robert Elston, Jaya Satagopan, Shuying Sun (eds.): Statistical

Human Genetics—Methods in Molecular Biology 850:399–409. Springer Protocols.

Humana Press. ISBN 978-1-61779-554-1. doi.org/10.1007/978-1-61779-555-8_21

20) Guimin Gao, Guolian Kang, Jiexun Wang, Huaizhen Qin, Bo Jiang, Qizhai Li,

Nianjun Liu, David B. Allison (2012). A sequential Bonferroni procedure using

smoothed weights for genome-wide association studies incorporating information on

Hardy-Weinberg disequilibrium among cases. Human Heredity 73:1–13.

https://doi.org/10.1159/000332916

21) Bamidele Tayo, Liping Tong, Marie Teil, Huaizhen Qin, Gregory Khitrov, Weijia

Zhang, Quinbin Song, Xiaofeng Zhu, Alexandre Pereira, Richard S. Cooper, Erwin

Bottinger (2011). Genetic background of patients from a university medical center in

Manhattan: Implications for personalized medicine. PLoS One 6(5): e19166.

doi:10.1371/journal.pone.0019166

Note: This work was reported by ScienceDaily and The Alzheimer Research Forum: http://www.sciencedaily.com/releases/2011/05/110504183405.htm http://www.alzforum.org/new/detail.asp?id=2790

22) Huaizhen Qin, Robert Elston, Xiaofeng Zhu (2011). Interrogating population structure

and its impact on association tests. BMC Proceedings 5 (Suppl 9): S25.

https://doi.org/10.1186/1753-6561-5-S9-S25

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23) Shetty Priya, Huaizhen Qin, Junghyun Namkung, Elston Robert, Xiaofeng Zhu (2011).

Estimating heritability using family and unrelated individuals data. BMC Proceedings 5

(Suppl 9): S34. https://doi.org/10.1186/1753-6561-5-S9-S34

24) Xuefeng Wang, Huaizhen Qin, Nathan Morris, Xiaofeng Zhu, Robert Elston (2011).

Testing gene-environment interactions in gene-based association studies. BMC

Proceedings 5 (Suppl 9): S26. https://doi.org/10.1186/1753-6561-5-S9-S26

25) Huaizhen Qin, Guohua Zou, Sherry Z.F. Zhou (2011). On the sensitivity of pre-test

estimators to covariance misspecification. Journal of Statistical Planning and Inference

141, 293–304. https://doi.org/10.1016/j.jspi.2010.06.003

26) Xuexia Wang, Xiaofeng Zhu, Huaizhen Qin, Richard Cooper, Warren Ewens, Chun

Li, Mingyao Li (2011). Adjustment for local ancestry in genetic association analysis of

admixed populations. Bioinformatics 27 (5), 670–677. https://doi.org/10.1093/

bioinformatics/btq709

27) Huaizhen Qin, Nathan Morris, Sun J. Kang, Mingyao Li, Bamidele Tayo, Helen Lyon,

Joel Hirsch-horn, Richard S. Cooper, Xiaofeng Zhu (2010). Interrogating local

population structure for fine mapping in genome-wide association studies.

Bioinformatics 26 (23), 2961–2968. doi.org/10.1093/bioinformatics/btq560

28) Huaizhen Qin, Tao Feng, Shuanglin Zhang, Qiuying Sha (2010). A data-driven

weighting scheme for family-based genome-wide association studies. European

Journal of Human Genetics 18, 596–603. doi.org/10.1038/ejhg.2009.201

29) Huaizhen Qin, Alan T.K. Wan and Guohua Zou (2009). On the sensitivity of the one-

sided t test to covariance misspecification. Journal of Multivariate Analysis 100, 1593–

1609. doi.org/10.1016/j.jmva.2009.01.003

30) Xuexia Wang, Huaizhen Qin, Shuanglin Zhang and Qiuying Sha (2009). Incorporating

multiple-marker information to detect rheumatoid arthritis susceptibility loci. BMC

Proceedings 2009, 3 (Suppl 7), S28. doi.org/10.1186/1753-6561-3-S7-S28

31) Huaizhen Qin (2008). Statistical approaches for genome-wide association study and

microarray analysis. PhD. Dissertation. ProQuest, Michigan Technological University

32) Huaizhen Qin, Tao Feng, Scott A. Harding, Chung-Jui Tsai and Shuanglin Zhang

(2008). An efficient method to identify differentially expressed genes in microarray

experiments. Bioinformatics 24(14), 1583–1589.

doi.org/10.1093/bioinformatics/btn215

Note: This work was ranked top 6 among the 50 most frequently read articles in

Bioinformatics during July & August 2008. Many researchers from Stanford and other

prestigious institutes requested the tool for their experiments/studies

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33) Huaizhen Qin, Alan T. K. Wan and Guohua Zou (2008). Local sensitivity in the

inequality restricted linear model. Shalabh Humboldt and Christian Heumann (eds.),

Recent Advances in Linear Models and Related Areas—Essays in Honour of Helge

Toutenburg (Springer, Berlin). 135–163. http://www.springerlink.com/content/

j1v7816153117770/. doi.org/10.1007/978-3-7908-2064-5_8

34) Alan T.K. Wan, Guohua Zou and Huaizhen Qin (2007). On the sensitivity of the

restricted least squares to covariance misspecification. The Econometrics Journal 10,

471–487. doi.org/10.1111/j.1368-423X.2007.00217.x

Note: Among all-time hits for all papers in the SSRN eLibrary from 2-January-1997 to

15-July-2008, this paper was on the Top Ten Download Lists for ESM: Estimation (top

7), ESM: Other (top 2), ESMST: Other (top 3) and Econometrics: Econometric &

Statistical Methods-Special Topics (top 6)

35) Lili Li, Shiyong Feng, Huaizhen Qin (2007). The domain estimation of

complementing strategies of sampling without replacement. Statistical Research 24(6),

80–85

36) Huaizhen Qin and Alan T.K. Wan (2004). On the properties of t- and F-ratios in linear

regressions with nonnormal errors. Econometrics Theory 20, 690–700.

doi.org/10.1017/S0266466604204042

37) Lili Li, Shiyong Feng, Huaizhen Qin (2004). The sampling and data processing

methods of the survey for wholesale/retail and food/drinks. Application of Statistics and

Management 1 (23), 19–26

38) Huaizhen Qin (2003). Studies on some practical and theoretical topics in survey

sampling. Outstanding PhD Dissertation in Statistics, China Statistics Press. Beijing,

China. ISBN: 750374197X

39) Yu Hui, Huaizhen Qin, Xinwei Su (2004). Deconvolution kernel estimator for mean

transformation. Journal of Shandong Normal University (Natural Science) 18 (4), 1–4

40) Huaizhen Qin, Shiyong Feng (2003). Deconvolution kernel estimator for mean

transformation with ordinary smooth error. Statistics & Probability Letter 61 (4), 337–

346. doi.org/10.1016/S0167-7152(02)00199-2

41) Guohua Zou, Shiyong Feng and Huaizhen Qin (2002). Sample rotation method with

missing data. Science in China, Series A 45 (1), 42–63. doi.org/10.1360/02ys9005

42) Huaizhen Qin, Lili Li (2001). Comparison of variance estimators for the ratio

estimator based on small sample. Acta Mathematicae Applicatae Sinica 4 (17), 449–

456. doi.org/10.1007/BF02669697

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43) Huaizhen Qin, Hengjian Cui, Yong Li (1998). The N.S. conditions for the ratio of two

quadratic forms to have an F-distribution and its applications. Communications in

Statistics-Theory and Methods, 27 (2) 453–471. doi.org/10.1080/03610929808832106

44) Hengjian Cui, Yong Li, Huaizhen Qin (1998). Estimation theory on nonlinear semi-

parametric errors-in-variables regression models. Chinese Science Bulletin 43 (23),

2493–2497

45) Huaizhen Qin, Hengjian Cui, Yong Li (1998). The necessary and sufficient conditions

for the ratios of quadratic forms to be distributed as F-distributions. Chinese Journal of

Applied Probability and Statistics 4 (1), 79–84

2. Peer-reviewed conference abstracts

1) Huaizhen Qin†, Weiwei Ouyangǂ, Yu-Ping Wang (2017). “Augmenting multi-ethnic

image signals to enhance schizophrenia prediction.” The 67th Annual Meeting of the

American Society of Human Genetics, Orlando, Florida, USA

2) Huaizhen Qin†, Weiwei Ouyangǂ, Yu-Ping Wang (2016). “Heteroscedastic pleiotropy

mapping on the biomedical image data of multiethnic schizophrenia patients.” The 66th

Annual Meeting of the American Society of Human Genetics, Vancouver, British

Columbia, Canada

3) Weiwei Ouyangǂ,* Qiang Anǂ, Jinying Zhao, Huaizhen Qin†,* (2016). “Integrating mean

and variance heterogeneities to identify differentially expressed genes.” The 66th

Annual Meeting of the American Society of Human Genetics, Vancouver, British

Columbia, Canada

4) Huaizhen Qin†, Weiwei Ouyangǂ, Shaolong Cao, Yun Zhu (2015). “Cost-effective

omnibus meta-analysis of massive studies.” The 65th Annual Meeting of the American

Society of Human Genetics, Baltimore, Maryland, USA

5) Weiwei Ouyangǂ and Huaizhen Qin† (2015). “A heterogeneity sequence association

test identified novel genes of alcohol addiction in African Americans.” The 65th Annual

Meeting of the American Society of Human Genetics, Baltimore, Maryland, USA

6) Shaolong Caoǂ, Huaizhen Qin†, Alexej Gossmann, Hong-Wen Deng H, and Yu-Ping

Wang (2015). “Unified tests for fine scale mapping and identifying sparse high-

dimensional sequence associations.” The 65th Annual Meeting of the American Society

of Human Genetics, Baltimore, Maryland, USA

7) Huaizhen Qin†, Weiwei Ouyangǂ, Xiangning Chen, Momiao Xiong, Guimin Gao,

Huann-Sheng. Chen, Yu-Ping Wang, Hong-Wen Deng, Xiaofeng Zhu (2014). “Sparse

heterogenetic sequence association mapping with arbitrary population structure and

8

cryptic relatedness.” The 64th Annual Meeting of the American Society of Human

Genetics, San Diego, CA, USA

8) Weiwei Ouyangǂ, Hong-Wen Deng, Huaizhen Qin† (2014). “Heteroscedastic extreme

sampling strategy in target sequencing studies.” The 64th Annual Meeting of the

American Society of Human Genetics, San Diego, CA, USA

9) Shaolong Caoǂ, Huaizhen Qin†, Jian Li, Hong-Wen Deng, Yu-Ping Wang (2014).

“Scaled sparse high dimensional tests for localizing disease susceptible sequence

variants.” The 64th Annual Meeting of the American Society of Human Genetics, San

Diego, CA, USA

10) Huaizhen Qin†, Weiwei Ouyangǂ, Shaolong Caoǂ, Tao Yangǂ, Yu-Ping Wang, Sam X.

Chen, Huann-Sheng Chen, John J. Lefante, Hong-Wen Deng (2013). “Caveats for

extreme sampling designs in sequencing studies.” The 63rd Annual Meeting of the

American Society of Human Genetics, Boston, MA, USA

11) Weiwei Ouyangǂ, Deng Hong-Wen, Huaizhen Qin† (2013). “A unified sequence kernel

association test allowing for admixed subjects with arbitrary relatedness.” The 63rd

Annual Meeting of the American Society of Human Genetics, Boston, MA, USA

12) Shaolong Caoǂ, Huaizhen Qin†, Hong-Wen Deng, Yu-Ping Wang (2013). “A

generalized sparse regression model with adjustment of pedigree structure for variant

detection from next generation sequencing data”. The ACM-BCB 2013 at Washington

DC & the 63rd Annual Meeting of the American Society of Human Genetics, Boston,

MA, USA

13) Huaizhen Qin†, Jian Li, and Hong-Wen Deng (2012). “Joint testing of rare and

common variants in admixed populations.” The 62nd Annual Meeting of the American

Society of Human Genetics, San Francisco, CA, USA

14) Huaizhen Qin, Shuanglin Zhang (2007). “A family-based ensemble learning approach

for genomic interactions.” The Sixth Annual Hawaii International Conference on

Statistics, Mathematics and Related Fields, Hawaii, USA

15) Guohua Zou, Alan T.K. Wan and Huaizhen Qin (2004). “On the sensitivity of

estimators and tests in linear regression to covariance misspecification.” The 6th ICSA

International Conference, Singapore

16) Shiyong Feng, Huaizhen Qin and Jialing Gao (2001). “Sampling design and data

analysis for the second survey of social status of Chinese women.” Proceeding of the

3rd Probability and Statistics Conference of All Chinese Statisticians, Tai-Wan, China

9

vii. PRESENTATIONS

1. Oral Presentations

1) 4/29/2019, Louisiana State University School of Public Health Biostatistics: “Rare

variant association mapping in admixed populations”

2) 12/25/2018, The University of Texas Health Science Center at Houston Schools of

Public Health Big Data Conference 2018: “Genome-wide Causal Studies on

Alzheimer’s Disease”

3) 2/17/2017, Department of Global Biostatistics and Data Science, Tulane University

School of Public Health and Tropical Medicine: “Exploiting latent heterogeneities for

gene mapping and disease prediction”

4) 4/23/2014, Department of Biostatistics and Bioinformatics, Tulane University School

of Public Health and Tropical Medicine: “Looking beyond mean effects for localizing

pleiotropic variants: Retrospective heteroscedastic admixture mapping”

5) 12/05/2013, Department of Mathematics, Tulane University: “Identifying Genetic

Variants for Alcohol and Nicotine Co-Addiction in Minorities.” The colloquium was

being presented by the D. W. Mitchell Lecture Series and the Provost's Faculty

Seminars in Interdisciplinary Research

6) 2/28/2013, Department of Biostatistics and Bioinformatics, Tulane University School

of Public Health and Tropical Medicine: “Pleiotropic association analysis of alcohol

and nicotine co-addiction”

7) 1/14/2013, Department of Biostatistics and Bioinformatics, Tulane University School

of Public Health and Tropical Medicine: “Identifying pleiotropic sequence associations

in admixed populations”

8) 8/8/2012, Department of Biostatistics and Bioinformatics, Tulane University School of

Public Health and Tropical Medicine: “A self-adaptive weighting method for

identifying rare variant associations in admixed families”

9) 6/28/2011, Department of Biostatistics and Bioinformatics, Tulane University School

of Public Health and Tropical Medicine: “Interrogating local population structure for

fine mapping in genome-wide association studies”

10) 3/18/2011, Department of Mathematics and Statistics, California State University:

“Interrogating local population structure for fine mapping in genome-wide association

studies”

11) 2/11/2011, Genomic Medicine Institute, Cleveland Clinic Foundation: “Interrogating

local population structure for fine mapping in genome-wide association studies”

10

12) 6/27/2008, Department of Statistics, University of Wisconsin-Madison: “An efficient

data-driven weighting scheme for genome-wide association studies”

13) 6/16/2008, Department of Biostatistics, University of Alabama at Birmingham School

of Public Health: “Genome-wide data-driven weighted association testing boosted by

founder information”

14) 10/10/2007, Mathematical Association of America Upper Peninsula Regional Fall

Conference: “An efficient method to identify differentially expressed genes in

microarray experiments”

2. Poster Presentations

1) Huaizhen Qin†, Yingjie Liǂ, Yu-Ping Wang (2017). “Augmenting multi-ethnic image

signals to enhance schizophrenia prediction.” The 67th Annual Meeting of the

American Society of Human Genetics, Orlando, Florida USA

2) Huaizhen Qin†, Weiwei Ouyangǂ, Yu-Ping Wang (2016). “Heteroscedastic pleiotropy

mapping on the biomedical image data of multiethnic schizophrenia patients.” The 66th

Annual Meeting of the American Society of Human Genetics, Vancouver, British

Columbia, Canada

3) Weiwei Ouyangǂ,* Qiang Anǂ, Jinying Zhao, Huaizhen Qin†,* (2016). “Integrating

mean and variance heterogeneities to identify differentially expressed genes.” The 66th

Annual Meeting of the American Society of Human Genetics, Vancouver, British

Columbia, Canada

4) Huaizhen Qin†, Weiwei Ouyangǂ, Shaolong Caoǂ, Yun Zhu (2015). “Cost-effective

omnibus meta-analysis of massive studies.” The 65th Annual Meeting of the American

Society of Human Genetics, Baltimore, Maryland, USA

5) Huaizhen Qin†, Weiwei Ouyangǂ, Xiangning Chen, Momiao Xiong, Guimin Gao,

Huann-Sheng. Chen, Yu-Ping Wang, Hong-Wen Deng, Xiaofeng Zhu (2014). “Sparse

heterogenetic sequence association mapping with arbitrary population structure and

cryptic relatedness.” The 64th Annual Meeting of the American Society of Human

Genetics, San Diego, CA, USA

6) Huaizhen Qin†, Weiwei Ouyangǂ, Shaolong Caoǂ, Tao Yangǂ, Yu-Ping Wang, Sam X.

Chen, Huann-Sheng Chen, John J. Lefante, Hong-Wen Deng (2013). “Caveats for

extreme sampling designs in sequencing studies.” The 63rd Annual Meeting of the

American Society of Human Genetics, Boston, MA, USA

7) Huaizhen Qin†, Jian Li, Hong-Wen Deng (2012). “Joint Testing of Rare and Common

Variants in Admixed Populations.” The 62nd Annual Meeting of the American Society

of Human Genetics, San Francisco, CA, USA

11

8) Huaizhen Qin, Nathan Morris, Sun J. Kang, Mingyao Li, Bamidele Tayo, Helen Lyon,

Joel Hirsch-horn, Richard S. Cooper, Xiaofeng Zhu (2010). “Interrogating local

population structure for fine mapping in genome-wide association studies.” IGES 19,

Boston, MA, USA

9) Huaizhen Qin, Robert Elston, Xiaofeng Zhu (2010). “Is the population structure of the

unrelated in-dividuals in the GAW17 data not a big concern?” GAW17, Boston, MA,

USA

10) Huaizhen Qin, Zhan Ye, Shurong Fang, Shuanglin Zhang and Qiuying Sha (2008).

“Incorporating multiple traits in genome-wide scans to find novel risk loci for

rheumatoid arthritis.” GAW16, St. Louis, USA

11) Huaizhen Qin, Shiyong Feng and Lili Li (2004). “Mathematical mechanism of

complementing strategy.” Chinese Proceeding of Probability and Statistics, Chang-

Chun, China

viii. GRANTS AND CONTRACTS

1. Funded

1) 7RF1AG052476-02S1 Jinying Zhao (PI) 01/1/2019-12/31/2019

Source: NIH

Title: Genome-wide profiling of brain DNA hydroxymethylome in AD

Goal: The goal of this supplementary grant is to request additional funding to develop and

conduct innovative statistical and bioinformatics analysis for identifying novel genes

implicated in AD neuropathology.

Role: Investigator

2) COR Fellowship (600890) Huaizhen Qin (PI) 06/01/2017-05/31/2018

Source: Tulane’s Committee on Research

Title: Genetic Mechanisms of Breast Cancer in the African Diaspora

Goal: To pioneer high-order heteroscedastic strategies for mapping genetic determinants and

predicting individual risks of breast cancer in women of African ancestry

Role: Principal Investigator

3) LB Grant (632119) Huaizhen Qin (PI) 01/01/2017-12/31/2017

Source: Carol Lavin Bernick Faculty Grant

Title: Genetic Mechanisms of Alcohol and Nicotine Co-Addiction in Admixed Populations

Goal: To develop signal augmenting methods for heterogeneous gene mapping and apply

them to decipher pleiotropic mechanisms of alcohol and nicotine co-addiction

Role: Principal Investigator

12

4) COR Fellowship (600890) Huaizhen Qin (PI) 06/01/2016-05/31/2017

Source: Tulane’s Committee on Research

Title: Harmonious Multilayer Heteroscedastic Strategies for Multi-ethnic Gene Mapping

Goal: To innovate analytical strategies and apply them to decipher the systems pathologies of

schizophrenia and co-addiction of alcohol and nicotine

Role: Principal Investigator

5) I2PH (632037) Huaizhen Qin (PI) 02/01/2015-12/31/2015

Source: Tulane Interdisciplinary Innovative Programs Hub

Title: Identifying Causers and Causal Pathways for Complex Diseases by Integrating Multi-

Omics Data

Goal: To develop multi-stage multi-omics causality methods with computational toolkits and

apply them to universally identify the causers and causal pathways for complex diseases

Role: Primary Faculty Member

6) NSFC 10471004 Liping Liu (PI) 01/01/2005-12/31/2007

Source: Natural Science Foundation of China

Title: Capture-recapture Models in Survey Sampling

Role: Investigator

7) SSFC 04CTJ001, Huaizhen Qin (PI),

Guohua Zou (PI)

01/01/2004-12/31/2006

Source: Social Science Foundation of China

Title: Theory and Methods for Domain and Small Domain Inference

Role: Principal Investigator

8) Young Scholar

Research Grant

Huaizhen Qin (PI) 08/01/2003-07/31/2004

Source: Peking University School of Mathematical Sciences

Title: Sensitivity Analysis in Econometrics

Role: Principal Investigator

9) Competitive Earmarked

Research Grant

Alan TK Wan (PI) 01/01/2002-12/31/2004

Source: Hong Kong Research Grants Council

Title: On the sensitivity of econometric estimators and tests to covariance misspecification

Role: Senior Research Associate

10) Postdoctoral Research Grant, Huaizhen Qin (PI) 07/01/2001-07/31/2003

Source: Beijing Normal University Postdoctoral Station and All-China Women’s Federation

Title: Domain Complementing Strategy in Survey Sampling and Sensitivity Diagnosis in

Econometrics

Role: Principal Investigator

13

11) SSFC Grant 99BTJ002 Zongming Shao (PI),

Shiyong Feng (PI)

04/30/1999-03/31/2001

Source: Social Science Foundation of China

Title: Methodological Research for Multi-level Multi-target Sampling Surveys

Role: Investigator

12) Plant Genome Project

DBI-0421756

Chung-Jui Tsai (PI) 09/1/2004 – 08/31/2008

Source: USA Natural Science Foundation

Title: A functional Genomics Approach to Investigate Regulation of Phenolic Glycoside

Metabolism in Populus

Role: Research Assistant

13) 1R01 GM069940-01A2 Shuanglin Zhang (PI) 08/01/2005-09/01/2010

Source: USA NIH/NIGM

Title: Statistical Methods for Mapping Complex Disease Genes

Role: Research Assistant

14) 5R01HG003054-04 Xiaofeng Zhu (PI) 03/01/2007-08/31/2009

Source: NIH/National Human Genome Research Insti HG003054

Title: LD Mapping Using Haplotype Block: Methods &Application

Role: Research Associate

15) 5R01HG003054-06 Xiaofeng Zhu (PI) 05/01/2011-04/30/2012

Source: NIH/National Human Genome Research Insti HG003054

Title: Statistical methods for analyzing high-throughput genotype data

Role: Research Associate

16) 5R01HL086718-05 Xiaofeng Zhu (PI) 07/01/2011-06/30/2013

Source: NIH/National Heart, Lung, and Blood Inst HL086718

Title: Fine Mapping of Hypertension Genes Detected by Admixture Mapping in the FBPP

Role: Research Associate

2. Meritorious

1) NIH 1R01AA025983-01 Huaizhen Qin (PI) 07/01/2017-06/30/2021

Title: Augmenting Signals to Decipher Multi-Ethnic Alcohol Addiction Genetics

Goal: To augment and integrate signals in big multi-ethnic data to localize genetic

determinants of alcoholism and alcohol-nicotine co-addiction

Role: Principal Investigator (55% effort = 6.6 calendar months in Years 1-4)

Submission: October 2016 Impact Score: 36 Percentile: 36 Status: To be resubmitted

2) NIH 1R01AA023876-01 Huaizhen Qin (PI) 04/01/2015 - 03/31/2019

Title: Multi-ethnic Pleiotropic Gene Mapping for Alcohol and Nicotine Co-addiction

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Goal: To develop heteroscedastic admixture mapping methods and apply them to localize

pleiotropic genes and functional variants for alcohol and nicotine co-addiction in minorities

Role: Principal Investigator (50% effort = 6 calendar months in Years 1-4)

Submission: June 2014 Scored Status: To be resubmitted

3) NIH 1R21HG007106-01 Guimin Gao (PI) 09/01/2012-08/31/2014

Title: Gene mapping in admixed populations

Goal: To develop novel statistical methods for analyzing genetic data from genome-wide

association studies of admixed individuals

Role: Subcontract PI (5% effort = 0.6 calendar months in Years 1-2)

Submission: February 2012 Scored Status: To be resubmitted

3. Submitted as Principal Investigator

4) NIH 1R01AA025432-01 Huaizhen Qin (PI) 12/01/2016 - 11/30/2020

Title: Mapping multi-layer causers and causal pathways for multiple traits

Goal: To innovate efficient heteroscedastic strategies and apply them to decipher the systems

pathologies of complex diseases.

Role: Principal Investigator (50% effort = 6 calendar months in Years 1-4)

Submission: February 2016 Status: To be resubmitted

5) NIH 1R21AA025442-01 Huaizhen Qin (PI) 09/01/2016 - 08/31/2018

Title: Deciphering Alcohol and Nicotine Co-Addiction Mechanism in Admixed Populations

Goal: To break new ground for research into mechanisms of alcohol and nicotine co-addiction

in admixed populations

Role: Principal Investigator (50% effort = 6 calendar months in Years 1-2)

Submission: February 2016 Status: To be resubmitted

6) NIH 1R01AA023876-01A1 Huaizhen Qin (PI) 04/01/2016 - 03/31/2020

Title: Multi-ethnic Pleiotropic Gene Mapping for Alcohol and Nicotine Co-addiction

Goal: To innovate efficient heteroscedastic strategies and apply them to decipher the systems

pathologies of alcohol-nicotine co-addiction.

Role: Principal Investigator (50% effort = 6 calendar months in Years 1-4)

Submission: July 2015 Status: To be resubmitted

7) NIH 1R01GM109158-02, Huaizhen Qin (PI) 10/1/2014-09/30/2017

Title: Identifying Pleiotropic Sequence Variants in Admixed Populations (Resubmission)

Goal: To develop particular statistical strategies to localize pleiotropic sequence variants for

complex diseases in admixed populations

Role: Principal Investigator (50% effort = 6 calendar months in Years 1-3)

Submission: March 2014 Status: To be resubmitted

8) NIH 1R01GM109158-01, Huaizhen Qin (PI) 08/31/2014 -08/31/2017

Title: Identifying pleiotropic sequence variants in admixed populations

Goal: To develop novel DNA sequence association methods and apply them for identifying

single-trait variants and pleiotropic variants for complex traits in admixed populations.

15

Role: Principal Investigator (50% effort = 6 calendar months in Years 1-4)

Submission: February 2013 Status: To be resubmitted

ix. TEACHING

1. Courses taught as primary instructor

1) Principles of Sampling (Spring 2016, Spring 2018). For graduates of various disciplines

at Tulane University

2) Intermediate Biostatistics (Fall 2013, Spring 2014, Fall 2014, Spring 2015, Fall 2015,

Spring 2016, Fall 2016, Fall 2017). For graduates of various disciplines at Tulane

University

3) Causal Inference for Biomedical Informatics (Spring 2013, Spring 2015, Spring 2017).

For graduates of various disciplines at Tulane University

4) Mathematical Statistics II (Spring 2006). For senior undergraduates and graduates from

multiple departments at Michigan Technological University

5) Probability and Statistics (Spring 2004). For top students from various universities in

Beijing City. Organized by the Chinese Center of Economics at Peking University

6) Theses Mentor (Spring 2004). Mentored senior undergraduates for theses and took

charge of a class of junior undergraduates in the School of Mathematical Sciences at

Peking University

7) Advanced Statistics (Fall 2003). For MSC and PhD candidates in the School of

Mathematical Sciences at Peking University

8) Advanced Mathematical Statistics (Spring 2002). For MSC candidates in the School of

Mathematical Sciences at Beijing Normal University

9) Probability and Mathematical Statistics (Fall 2001). For undergraduates in the

Academy of Economics at Beijing Normal University

2. Invited Lectures

Feb 2017 Lecture offered: Principles of Survey Sampling. Course EPID 6260: Survey

Methodology. Primary Instructor: Dr. Xiong Xu. Department of

Epidemiology, Tulane University SPHTM, New Orleans, LA

Sep 2016 Lecture offered: Principles of Survey Sampling. Course EPID 6260: Survey

Methodology. Primary Instructor: Dr. Xiong Xu. Department of

Epidemiology, Tulane University SPHTM, New Orleans, LA

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3. Student Advising

1) Current academic Advisees

Alyssa Falise: PhD in Epidemiology; Wenjie Zeng: PhD in Epidemiology; Afton R

Nourzad: MPH in Epidemiology; Maisey Ratcliffe: MPH in Epidemiology; Sarah

Waldo: MPH in Epidemiology.

2) Doctors of Philosophy

Weiwei Ouyang: PhD in Biostatistics with Research Focus on Quantitative Genetics,

graduated in May 2017. Since August 2012, I have been dedicatedly guiding Weiwei

for course study and original research as her advisor. We have together published two

book chapters and four original methodological and theoretical articles on mining

genetic association and microarray experiment data. In addition, we have been

developing higher order heteroscedastic causal inference methods for interrogating

DNA sequence data of multi-ethnic samples, e.g., African Americans, African

Barbadians, Nigerians, and Whites. Four novel major contributions composed her PhD

dissertation. She successfully defended her PhD dissertation on April 3rd, 2017. At

Tulane, Weiwei demonstrated exceptional academic excellence and promising

momentum in pioneering cutting-edge statistical methods with computational toolkits

and applying them to solve non-standard important public health problems. Therefore,

the Parkland Center for Clinical Innovation (PCCI, http://www.pccipieces.org/) has

decided to offer her Data Scientist position. The PCCI is a non-profit high tech

research and development corporation in Dallas that specializes in real-time predictive

and surveillance analytics for healthcare.

Weiwei’s special distinctions

May 2017 One of the three Recipients of the Tulane SPHTM Alumni Association

Student Recognition Award for 2016-17, Tulane University, New

Orleans, LA

Feb 2015 Primary Student Recipient of Tulane I2PH Research Grant for

collaborative research on “Identifying causers and causal pathways for

complex diseases by integrating multi-omics data”, Tulane University,

New Orleans, LA

May 2015 Unique Recipient of the Tulane SPHTM Alumni Association Student

Recognition Award for 2014-15, Tulane University, New Orleans, LA

May 2015 Unique Recipient of the Excellence in Biostatistics Award. Faculty of

Biostatistics and Bioinformatics at Tulane University School of Public

Health and Tropical Medicine

17

Oct 2014 Tulane GSSA Travel Funding for the 64th Annual Meeting of American

Society of Human Genetics – San Diego, CA USA

Sep 2012-

Sep 2014

Recipient of Dean’s Research Council Scholarship (Unique PhD student

in the Department). Tulane University School of Public Health and

Tropical Medicine

Jul 2013 Student Travelling Award for 18th Summer Institute in Statistical

Genetics. University of Washington in Seattle, Washington

Shaolong Cao: PhD in Biomedical Engineering with Research Focus on Quatitative

Genetics, graduated in April 2016. Shaolong’s advisor was Dr. Yu-Ping Wang, one of

my long-term collaborators. I dedicatedly guided Shaolong for original

methodological research in Quantitative Genetics from Spring 2013 to his graduation.

I observed Shaolong’s extraordinary analytical capacity when he was a student in my

Spring 2013 class on BIOS 8200 (Causal Inference for Biomedical Informatics). I

perceived his great potential in developing cutting-edge analytical tools and applying

them to dig big complex data. We together developed and published three novel spare

regression approaches for interrogating multi-ethnic high dimensional DNA sequence

data. Shaolong was a selected speaker for three plenary presentations on these original

contributions at prestigious international conferences. He successfully defended his

PhD dissertation on April 25, 2016. As his long-term dedicated mentor, I served on the

committees for his prospectus defense and dissertation defense. At Tulane, Shaolong

demonstrated exceptional academic excellence and original contributions in

Quantitative Genetics. Hence, after graduating with honors, he was hired as a

Postdoctoral Fellow at MD Anderson Cancer Center. For his employment, I served as

a referent for recommendation and background checking, especially on his original

methodological research in Quantitative Genetics.

Shaolong’s special distinctions

Jul 2014 Student Travelling Award for 19th Summer Institute in Statistical

Genetics. University of Washington in Seattle, Washington

Aug 2014 ACM-BCB Conference Travel Award. Sponsor: National Science

Foundation. Selected speaker for a 25-minute plenary presentation on

selected topic: “Scaled Sparse High-Dimensional Tests for Localizing

Sequence Variants”, Newport Beach, CA

Aug 2013 ACM-BCB Conference Travel Award. Sponsor: National Science

Foundation. Selected speaker for a 25-minute plenary presentation on

selected topic: “A generalized sparse regression model with adjustment

of pedigree structure for variants detection”, Washington, DC.

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Oct 2013 American Society of Human Genetics: Selected speaker for a 15-

minute plenary presentation on selected topic (selection rate < 10%): “A

generalized sparse regression model with adjustment of pedigree

structure for variants detection”, Boston, MA

3) Masters of Science

Qiang An: MS in Public Health, graduated in May 2017. Ms. An has a solid medical

background and ample training in both biostatistics and epidemiology. As her advisor,

I worked with her on exploiting higher order heterigeneities in gene expression data.

During her internship for practicum, she already assisted the Florida Department of

Health (FDH) for several important projects. She demonstrated exceptional leadership

in real-world data analysis, immense passion for service in public health, excellent

published research and impressive academic record. Therefore, the FDH has decided

to offer her a Biostatistician position.

Ms. An’s special distinctions

May 2017 One of the three Recipients of the Tulane SPHTM Alumni Association

Student Recognition Award for 2016-17, Tulane University, New

Orleans, LA

Feb 2015 Recipient of the Tulane I2PH Research Grant for collaborative research

on “Identifying causers and causal pathways for complex diseases by

integrating multi-omics data”, Tulane University, New Orleans, LA

Mar 2014 First Award--Delta Omega poster section. Smoking Attributable

Mortality among the American Indian the Strong Heart Study

Aug 2013-

May 2014

Dean’s Research Council Scholarship (Unique MSPH student recipient

in the Department). Tulane University SPHTM, New Orleans, LA

Yi-Chen Teng: MS in Public Health, graduated in May 2017. Ms. Teng is a detailed-

oriented individual with professional skills in statistical packages. As her advisor, I

had been guiding her for choosing courses and developing practicum report and PHA.

She worked in Taiwan Center for Disease Control as intern in 2016 summer,

responsible for a health policy related project.

Jasdeep K Chhina: MS in Public Health, graduated in Dec 2017. As her advisor, I had

been guiding her for choosing courses and exploiting higher order heterogeneities of

metabolic measures.

Yuan Gao: MS in Biostatistics, graduated in May 2014. As her accademic advisor and

thesis adviser, I worked with her on the null independence between the classical two-

19

sample t and F tests. Also, I guided her to look into statistical methods and models for

mining multilevel data in Cancer Genetics. Since her graduation at Tulane, she has

been continuing her graduate study in the Interdisciplinary PhD Program in

Biostatistics at Ohio State University.

Yingjie Li: MS in Biostatistics, graduated in Dec 2017. As her accademic advisor and

theis advisor, I had been working with her on developing harmonious signal

augmentation methods for digging genetic immaging data and for predicting

individual risks of schizophrenia. Relative to conventional methods, our novel

methods have improved prediction accuracy by 30%.

4) Second reader for master theses

Dec 2016 Tingjie Zhao: MS in Biostatistics. Advisor: Leann Myers, PhD & Professor

Thesis: The Exploration of Respondent-Driven Sampling with insufficient

recruiting waves.

May 2015 Yunlong Gao: MS in Biostatistics. Advisor: Lanjuan Zhao, PhD & Assistant

Professor

Thesis: Crosstalk Effect Correction by Principle Component Analysis in

Pathway Analysis on Osteoporosis

5) Dissertation/thesis defense committees

Apr 2017 Wewei Ouyang: PhD in Biostatistics

Dissertation: Heteroscedastic Approaches for Deciphering Multiethnic

Genomic Sequences and Microarrays

Committee: Huaizhen Qin (Chair), John J. Lefante, PhD & Professor of

Biostatistics; Sudesh K. Srivastav, PhD & Professor of Biostatistics; Tanika

N. Kelly, PhD and Associate Professor of Epidemiology; Zhide Fang, PhD

and Professor of Biostatistics

Jun 2016 Wewei Ouyang: PhD in Biostatistics

Prospectus: Heteroscedastic Approaches for Deciphering Multiethnic

Genomic Sequences and Microarrays

Committee: Huaizhen Qin (Chair), John J. Lefante, PhD & Professor of

Biostatistics; Jinying Zhao, MD, PhD & Professor of Epidemiology

Apr 2016 Shaolong Cao: PhD in Biomedical Engineering

Dissertation: Unified Sparse Regression Models for Sequence Variants

Association Analysis

Committee: Yu-Ping Wang (Chair), PhD & Professor of Biomedical

Engineering; J. Quincy Brown. Assistant Professor of Biomedical

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Engineering; Huaizhen Qin; Jian Li, Assistant Professor of Biostatistics

Dec 2015 Shaolong Cao: PhD in Biomedical Engineering

Prospectus: Unified Sparse Regression Models for Sequence Variants

Association Analysis

Committee: Yu-Ping Wang (Chair), PhD & Professor of Biomedical

Engineering; J. Quincy Brown. Assistant Professor of Biomedical

Engineering; Huaizhen Qin; Jian Li, Assistant Professor of Biostatistics

6) Referent for students

Mar 2017 Employer Reference for Ms. Wewei Ouyang’s background checking and

advisor support letter for expediting her OPT

Mar 2017 Nomination to get Ms. Weiwei Ouyang recognized by Tulane SPHTM

Alumni Association Student Recognition Award for 2016-17: For

recognizing her exceptional leadership at Tulane as a published author and

original researcher

Mar 2017 Advisor support letter for assisting Ms. Qiang An to expedite her OPT

authorization

Mar 2017 Nomination to get Ms. Qiang An recognized by Tulane SPHTM Alumni

Association Student Recognition Award for 2016-17: For recognizing her

dedication to helping people, excellent published research and impressive

academic record

Jun 2016 Recommendation letters to support Dr. Shaolong Cao for job seeking and

reference letter for his background checking

Mar 2015 Nomination to get Weiwei Ouyang recognized by Tulane SPHTM Alumni

Association Student Recognition Award for 2014-15

Feb 2015 Nomination to get Weiwei Ouyang recognized by the Excellence in

Biostatistics Award

Jan 2015 As the primary faculty member, outlined and refined the research proposal

for Weiwei Ouyang, Qiang An, and Jinying Zhao (collaborative faculty

member) to apply Tulane I2PH and got it awarded

2014 - Offered numerous recommendations for Tulane students who applied to land

job positions, to enter PhD programs, and to seek internship and practicum

opportunities

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x. SERVICE

1. Department and School Services

1) Regular Member: Departmental Comprehensive Exams Committee

Since 2014, I have been regularly involved in examining Mathematical Statistics as well

as core and selective Biostatistics courses. My services include (1) contributing and

organizing exam questions from the faculty, (2) coordinating exams by timely passing

student questions and faculty replies, and (3) evaluating students’ answers with the

committee.

2) Regular Member: Committee of PhD Program in Biostatistics

Since Aug 2012, I have been a highly dedicated, competent primary academic advisor,

dissertation advisor, and doctoral research mentor. In 2016, I carefully reviewed the PhD

Program in Biostatistics, suggested and discussed on offering departmental mathematical

statistics course.

3) Assistance for Dr. Robert C. Elston’s Visit

In June 2016, I assisted Dr. Xiangyang Lou for Dr. Elston’s 2-day visit to Tulane

University and Louisiana State University. During this visit, Dr. Elston met with 10

professors at the two universities and offered a seminar at Tulane University; I escorted

Dr. Elston with Dr. Xiangyang Lou back and forth between the airport, hotel and the two

universities.

4) Hosting Dr. Xiaofeng Zhu’s Visit

In May 2017, I invited and hosted Dr. Zhu to visit Tulane for 2 days. During this visit, Dr.

Zhu met with 7 professors at Tulane University and Louisiana State University. He

offered a seminar at Tulane University and helped me improve a proposal. I escorted Dr.

Zhu back and forth between the airport, hotel and the Tulane.

5) Ad Hoc Interviewer to Assist Tulane Faculty Recruitment

Apr 2015 Dr. Brian Summa. Department of Computer Science, School of Science and

Engineering

Apr 2015 Dr. Boqing Gong. Department of Computer Science, School of Science and

Engineering

Jun 2014 Dr. Wan Tang. Department of Epidemiology, School of Public Health and

Tropical Medicine

22

Mar 2014 Dr. Hua He. Department of Biostatistics and Bioinformatics, School of

Public Health and Tropical Medicine

Mar 2013 Dr. Xuefeng Wang. Department of Epidemiology, School of Public Health

and Tropical Medicine

May 2013 Dr. Allison McCoy. Department of Biostatistics and Bioinformatics, School

of Public Health and Tropical Medicine

6) Tulane Health Sciences Research Days Judge

Since Spring 2012, I have been conscientiously serving the Annual Tulane Health

Sciences Research Days. By my expertise, I mainly reviewed doctoral and postdoctoral

abstracts and posters on or closely related to genetics and omics data mining. Specifically,

I reviewed 2 posters in Spring 2012, four posters in Spring 2014, and 2 posters in Spring

2017. During the research days, I discussed with many presenters and shared my thoughts

with them, and sometime, with their advisors.

2. Professional Service Outside Tulane

1) Invited Reviewer for Grant Proposals

Major Projects of the Natural Science Foundation of China (NSFC) – The Fifth

Department of Life Sciences.

Apr 2016 Three proposals in the field of multi-gene interaction and regulation of

genetic network. The topics were, respectively, relevant to (1) intellectual

precise medicine of cancers, (2) RNF signal network and tumor therapy, and

(3) gene-interaction insulin resistant phenotype

2) Annual DNA Day Essay Contest Round 2 Judge

Annually, international high school students submit their contest essays to the American

Society of Human Genetics (ASHG). The goal of Round 2 reviewing is to identify the

essays which should advance to Round 3 and potentially be awarded a winner or

honorable mention prize. Already, I have served as a Round 2 Judge for three years and

reviewed 25 essays.

Mar 2017 Topic: Gene therapy. Gave detailed reviews to 11 essays submitted to the

12th ASHG annual DNA Day Essay Contest

Mar 2015 Topic: Phenomena expanding gene definition. Gave detailed reviews to 6

essays submitted to the 10th ASHG annual DNA Day Essay Contest

Apr 2014 Topic: Complex traits. Gave detailed reviews to 8 essays submitted to the 9th

ASHG annual DNA Day Essay Contest

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3) Editorial Boards

Annals of Biometrics and Biostatistics: Jul 2013-

Journal of Proteomics and Genomics: Nov 2013-

Austin Biometrics and Biostatistics: Jun 2014-

Austin Journal of Computational Biology and Bioinformatics: May 2014-

MedCrave Online Journal of Public Health: Jan 2015-

SM Journal of Bioinformatics and Proteomics: Feb 2015-

Jacobs Journal of Biostatistics: Apr 2016-

4) Peer reviewer

Text Book

Dec 2016 Harvey Motulsky, “Intuitive Biostatistics: A Nonmathematical Guide to

Statistical Thinking (4th edition)”.

Copyright © 2017 by Oxford University Press, 198 Madison Avenue, New

York, NY 10016. ISBN 978–0–19–994664–8

Scholarly Journals

Austin Biometrics and Biostatistics

Bioinformatics

BMC Bioinformatics

BMC Genetics

Computational Biology and Chemistry

Computational Statistics and Data Analysis

European Journal of Human Genetics

Frontier in Genetics

Genomics

Heredity

Human Genetics

Human Heredity

International Journal of Agricultural and Statistical Sciences

Journal of Econometrics

Journal of Frontiers

Journal of Multivariate Analysis

Model Assisted Statistics and Applications

PLOS Genetics

PLOS ONE

Plus Computational Biology

Science in China

24

Scientific Report

Statistical Applications in Genetics and Molecular Biology

5) Consultant/Referent

Oct 2016 Consultant for Dr. Qing Song’s NIH grant proposal submission on “Genetics

of Antihypertensive Drug Response in African Americans”.

Dr. Qing Song is an Associate Professor at Cardiovascular Research Institute,

Morehouse School of Medicine, Atlanta, Georgia 30310

Feb 2016 Consultant and Referent for Dr. Wei Xu’s American Heart Association

(AHA) Postdoctoral Fellowship 2016 application. To the AHA Review

Committee, submitted reference report on her proposal “Genetic ancestry in

the big data analysis of minority populations”.

Dr. Wei Xu, MD, PhD, is a Research Scholar at Cardiovascular Research

Institute, Morehouse School of Medicine, Atlanta, Georgia 30310

Aug 2015 Referent for Dr. Wei Xu’s American Heart Association (AHA) Postdoctoral

Fellowship 2015 application. To the AHA Review Committee, submitted

reference report on her proposal “Genetic ancestry in the big data analysis of

minority populations”.

Dr. Wei Xu (MD & PhD) was a postdoctoral fellow at Cardiovascular

Research Institute, Morehouse School of Medicine, Atlanta, Georgia 30310

Dec 2014 Referent for Dr. Jinghua Liu’s Petition for O-1 visa, endorsing her an

individuals with extraordinary ability or achievement.

Dr. Jinghua Liu was a Postdoctoral Scholar in the Department of

Epidemiology & Biostatistics at University of California, San Francisco

Oct 2014 Referent for Dr. Jinghua Liu’s Petition for Permanent Residency. As an

independent research to her, I reviewed and commented on Dr. Liu’s

significant contributions in genetic epidemiology, especially her

methodological research on nicotine addiction and fine scale gene mapping

in admixed populations.

Dr. Jinghua Liu was a Postdoctoral Scholar in the Department of

Epidemiology & Biostatistics at University of California, San Francisco

May 2013 Referent for Dr. Zhaogong Zhang’s job seeking. Dr. Zhang was a Research

Associate in the Department of Epidemiology and Biostatistics at Case

Western University

25

Nov 2012 Referent for Dr. Tao Feng’s job seeking. Dr. Feng was a Research Associate

in the Department of Epidemiology and Biostatistics at Case Western

University

xi. SPECIAL DISTINCTIONS

2008

One of the five winners of Finishing Fellowships — Spring 2008. Graduate School,

Michigan Technological University, Houghton, MI, USA

2008 The unique winner of Graduate Outstanding Research Award. Department of

Mathematical Sciences, Michigan Technological University, Houghton, MI, USA

2008

The Nominee for the 2008 CGS/University Microfilms International Distinguished

Dissertation Award competition. Graduate School, Michigan Technological

University, Houghton, MI, USA

2004

Outstanding Research Award in Statistical Genetics. Department of Mathematical

Sciences, Michigan Technological University, Houghton, MI, USA

2002 National Gold Award for Outstanding PhD Dissertation. National Bureau of Statistics

of People’s Republic of China, Beijing, PR China

2002

National Gold Award for Premier Research Project. National Bureau of Statistics of

People’s Republic of China, Beijing, PR China

2002

Beijing Normal University Outstanding Science and Technology Achievement

Award. President of Beijing Normal University, Beijing, PR China

2002 President Award to Outstanding PhD Graduate. President of Chinese Academy of

Sciences, Beijing, PR China

2001 Hua-Wei Silver Award to Outstanding PhD. Chinese Academy of Sciences, Beijing,

PR China

1998 Li-Yun Grant to Outstanding Graduate. The 4th Li-Yun Grant Council, Beijing

Normal University, Beijing, PR China

1998 Outstanding Master Award. Beijing Normal University, Beijing, PR China

1996 Outstanding Graduate Student Award. Beijing Normal University, Beijing, PR China