Jimin Kim

#108 3642 Woodland Park Ave N Seattle Washington 98103 Mobile: (509) 416-6547, E-mail: jk55@u.washington.edu

OBJECTIVE: Challenging full-time position or internship utilizing Data Analysis, Data Driven Modeling or involving Mathematics, Physics where I can use my problem solving skills. EDUCATION: University of Washington 2011-2015

Bachelors of Science in Mathematics - Advanced Multivariable Calculus, Matrix Algebra, Linear Analysis (Fourier

Transform), Linear Optimization, Advanced Analysis, Complex Analysis, Topology and Geometry, Probability, Statistics, Stochastic Modeling, Mathematical Modeling, Scientific Computing, Computational methods for Data Analysis

Bachelors of Science in Physics - Classical Mechanics, Thermal Physics, Quantum Mechanics, Electromagnetism,

Statistical Physics, Mathematical Physics, Analog and Digital Electric Circuits RELEVANT EXPERIENCE: Undergraduate Researcher at Mathematical Neuroscience group of UW Applied Mathematics Dept Researcher Mathematical modeling of the moth's olfactory Neuro-network Spring 2015 - Present

Analyzing the neuronal responses of moth’s olfactory network to different types of chemicals by using the Multivariate data analysis.

Classifying the moth’s neuronal ensemble to different types of odor using PCA technique.

Establishing the computational model for dynamical neuronal connectome of olfactory network.

Investigating the effect of inhibition levels on olfactory processing with computational model.

Testing the validity of the computational model by comparing the theoretical outputs for different types of odors to experimental data.

Computational Methods of Data Analysis Projects (MATLAB Implementation) Winter 2015

Developed noise reduction and filtering algorithm for the digital signals.

Time frequency analysis algorithm using Windowed Fourier Transform.

Image enhancement algorithms using Linear Filtering and Local Diffusion.

Dimensionality reduction and equation-free dynamic extraction algorithm using PCA.

Simple statistical testing algorithm for music genre recognition using PCA.

Video foreground/background separation algorithm using RPCA (Robust Principal Component Analysis) and DMD (Dynamic Mode Decomposition).

Undergraduate Researcher at Elementary Particle Experiment Group of UW and CERN

Project Leader DAQ Software development for ATLAS Pixel Detector Upgrade Summer 2014 – Present

Currently working on testing Pixel Calibration and Data Path Firmware development for next generation Readout Driver.

Conducted the migration of system platform from the Scientific Linux CERN 5 to SLC6

Set up the ATLAS Pixel Readout Drivers ready for testing by implementing a new firmware

Learned basic knowledge about the DAQ software and Digital Signal Processing

Successfully operated the modular DAQ system USBPIX in the latest Pixel Infrastructure

Successfully operated the DummyPixController in the latest Pixel infrastructure

Wrote a complete manual on installation and the operation of the UW Pixel DAQ System

Collaborated with various national institutes in Europe and U.S such as CERN, SLAC and LBNL Project Leader Development of UW VME Pixel DAQ System Fall 2013 - Spring 2014

Built Pixel DAQ System from scratch in an effort to have an identical CERN DAQ System at UW

Integrated Pixel Infrastructure and Pixel DAQ software in the local environment

Set up a second local network between the VME interface and the local host computer

Set up the PCI-VME mapping and VME application scripts for local UW environment.

Operated DummyPixController to test data communication/software architecture

Gave weekly talks to research students and CERN associates regarding UW Pixel DAQ Project

Collaborated with CERN and other U.S institute associates regarding operation of Local DAQ System

Project Leader ATLAS Pixel Detector DAQ Project: Pixel Calibration of Next Gen Pixel Chip Summer 2013

Worked on integrating the USBPIX DAQ System from Windows to Scientific Linux CERN 5

Performed Calibration scans and Data Analysis on the next generation Pixel Chip FEI4B

Analyzed each calibration algorithm and documented its goal and working principle.

Designed the best algorithm sequence that achieves the optimal operational setting.

Compared the pixel calibration results with those of the current Pixel Chip FEI3

Documented a systematic student manual on pixel calibration procedure and data analysis

Instructed students with Pixel Calibration process

Lead the weekly status report/presentation meeting with CERN associates Undergraduate Researcher ATLAS Pixel Detector DAQ Project: 3D Sensor and USBPIX Winter 2012 - Spring 2013 ● Used USBPIX as a modular DAQ board to study DAQ processes in ATLAS Pixel Detector ● Learned the operation of STControl software that controls the DAQ system ● Conducted pixel calibrations on the current ATLAS Pixel Chip and particle sensors ● Performed quantitative data analysis on the calibration data ● Designed and built the cloud chamber to understand the basic type of particle detector ● Gave weekly presentations to the UW Research associates and CERN scientists

Skills

Able to work with others and collaborators to meet deadlines and distribute workload

Proficient with professional presentations and work reports

Proficient with Linux, especially Scientific Linux or Scientific Linux CERN

Experienced with various types of statistical analysis on data

Experienced with uncertainty analysis for experimental data

Experienced with different types of stochastic processes Martingale process Markov Process Poison Process

Experienced with Excel

Experienced with Spectral Time-Signal Analysis using MATLAB Digital signal analysis, Noise reduction and filtering Time frequency methods and wavelets, Image processing

Experienced with Dimensionality Reduction and Equation Free Techniques using MATLAB PCA, POD, SVD, DMD,

Able to work with R-Studio for statistical analysis

Knowledgeable with ATLAS Pixel Detector System at LHC, CERN

Knowledgeable with CERN DAQ Software such as Trigger & Data Acquisition, USBPIX

Understands Data Acquisition System and Sensor/Pixel Chip for particle detection

Able to work with VME Interface

Mathematically adept, can read Mathematics or Physics papers

Logical reasoning and problem solving

Bilingual in English and Korean ACTIVITIES/SERVICE TAF Academy Research Outreach 2013

Presenter Built and demonstrated the cloud chamber

UW Quarknet Research Outreach 2013 Undergraduate Researcher Participant Demonstrated Pixel Frontend Chips to both high school and graduate students Demonstrated the simple Pixel calibration process and UW Pixel DAQ System UW Undergraduate Research Symposium 2014 Presenter

Presented the research work with a title “Development of Pixel DAQ System for the ATLAS Pixel Detector at LHC”

And many other research outreaches and workshops 2013 - 2014 AWARDS Dean’s List Summer 2014 References:

● Shih-Chieh Hsu, Assistant Physics Professor, University of Washington ● Joern Grosse Knetter, Physics professor, University of Gottingen, CERN