JiminKimCV Reduced
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SKILLS: Proficient with Professional presentations, reports Leading and organizing the group projects. Linux and Scientific Linux. MATLAB: Quantitative Data Analysis and Algorithm Implementation Data Acquisition System and particle/light detector technologies MS Words and PowerPoint Both English and Korean Experienced with Various types of Statistical Analysis Different types of Stochastic Modeling Uncertainty Analysis for experimental data Software troubleshooting in Linux MS Excel Logical reasoning and problem solving Reading Mathematics or Physics papers PROJECTS: Computational Methods of Data Analysis Projects (MATLAB Implementation) Winter 2015 Noise reduction and filtering algorithm for the digital signals https://drive.google.com/open?id=0B0c4NUAlVtK-NjA0MnF3UXJOek0&authuser=0 Time frequency analysis algorithm using Windowed Fourier Transform. https://drive.google.com/open?id=0B0c4NUAlVtK-WGZwSW5Da3hBWlU&authuser=0 Image enhancement algorithms using Linear Filtering and Local Diffusion. https://drive.google.com/open?id=0B0c4NUAlVtK-VV9CR1VqVUxYVk0&authuser=0 Dimensionality reduction and equation-free dynamic extraction algorithm using PCA. https://drive.google.com/open?id=0B0c4NUAlVtK-cnFvMFZJblVBRmM&authuser=0 Simple statistical testing algorithm for music genre recognition using PCA. https://drive.google.com/open?id=0B0c4NUAlVtK-NHBYdFFjemVaa3c&authuser=0 Video foreground/background separation algorithm using RPCA and DMD. https://drive.google.com/open?id=0B0c4NUAlVtK-ZG54QnBOWFg4V2M&authuser=0 Project Leader at Elementary Particle Experiment Group and CERN Winter 2012 - Present Development of UW Pixel DAQ System for ATLAS Pixel Detector Working on Pixel Calibration and Development of a new Robust Data Path Firmware Implemented a new DAQ firmware to analyze its data processing performance. Built Pixel DAQ System from scratch to have an identical CERN DAQ System at UW. Performed pixel calibrations and data analysis on both current/next generation pixel chips. Designed the best algorithm sequence that achieves the optimal operational setting for chip. Lead the weekly meeting/talk with colleagues and CERN associates regarding the project. RELEVANT EXPERIENCE: Researcher at Dynamical Systems group at Applied Mathematics Spring 2015 - Present Mathematical modeling of the moth's olfactory Neuro-network Using multivariate data analysis to analyze neuron population responses to odor chemicals. Classifying and quantifying the odors using Principal Component Analysis technique. Developing a Realistic Computational Model that incorporates dynamical neuronal system. 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 OBJECTIVE: Challenging full-time position or internship utilizing Data Analysis, Data Driven Modeling or applying Mathematics, Physics where I can use my problem solving skills. Jimin Kim #108 3642 Woodland Park Ave N Mobile: (509) 416-6547 Seattle Washington 98103 E-mail: [email protected]
Transcript of JiminKimCV Reduced
SKILLS: Proficient with
Professional presentations, reports Leading and organizing the group projects. Linux and Scientific Linux. MATLAB: Quantitative Data Analysis and Algorithm
Implementation Data Acquisition System and particle/light detector technologies MS Words and PowerPoint Both English and Korean
Experienced with Various types of Statistical Analysis Different types of Stochastic Modeling Uncertainty Analysis for experimental data Software troubleshooting in Linux MS Excel Logical reasoning and problem solving Reading Mathematics or Physics papers
PROJECTS: Computational Methods of Data Analysis Projects (MATLAB Implementation) Winter 2015
Noise reduction and filtering algorithm for the digital signals https://drive.google.com/open?id=0B0c4NUAlVtK-NjA0MnF3UXJOek0&authuser=0
Time frequency analysis algorithm using Windowed Fourier Transform. https://drive.google.com/open?id=0B0c4NUAlVtK-WGZwSW5Da3hBWlU&authuser=0
Image enhancement algorithms using Linear Filtering and Local Diffusion. https://drive.google.com/open?id=0B0c4NUAlVtK-VV9CR1VqVUxYVk0&authuser=0
Dimensionality reduction and equation-free dynamic extraction algorithm using PCA. https://drive.google.com/open?id=0B0c4NUAlVtK-cnFvMFZJblVBRmM&authuser=0
Simple statistical testing algorithm for music genre recognition using PCA. https://drive.google.com/open?id=0B0c4NUAlVtK-NHBYdFFjemVaa3c&authuser=0
Video foreground/background separation algorithm using RPCA and DMD. https://drive.google.com/open?id=0B0c4NUAlVtK-ZG54QnBOWFg4V2M&authuser=0
Project Leader at Elementary Particle Experiment Group and CERN Winter 2012 - Present Development of UW Pixel DAQ System for ATLAS Pixel Detector
Working on Pixel Calibration and Development of a new Robust Data Path Firmware Implemented a new DAQ firmware to analyze its data processing performance. Built Pixel DAQ System from scratch to have an identical CERN DAQ System at UW. Performed pixel calibrations and data analysis on both current/next generation pixel chips. Designed the best algorithm sequence that achieves the optimal operational setting for chip. Lead the weekly meeting/talk with colleagues and CERN associates regarding the project.
RELEVANT EXPERIENCE: Researcher at Dynamical Systems group at Applied Mathematics Spring 2015 - Present Mathematical modeling of the moth's olfactory Neuro-network
Using multivariate data analysis to analyze neuron population responses to odor chemicals. Classifying and quantifying the odors using Principal Component Analysis technique. Developing a Realistic Computational Model that incorporates dynamical neuronal system.
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
OBJECTIVE: Challenging full-time position or internship utilizing Data Analysis, Data Driven Modeling or applying Mathematics, Physics where I can use my problem solving skills.
Jimin Kim #108 3642 Woodland Park Ave N
Mobile: (509) 416-6547 Seattle Washington 98103 E-mail: [email protected]
