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Data Analyst

Ann Arbor, MI
March 25, 2020

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Jerome J Choi


*** ****** ****** **** *****, Apt 210, Ann Arbor, MI 48104 Citizenship Status : U.S. Citizen


MS in Applied Statistics, University of Michigan 2017 - 2019

· Related Coursework : Statistical Learning I (Regression), Probability and Distribution, Theory (Mathematical Statistics I), Computational Methods and Tools in Statistics (R, SAS, STATA, C++), Statistical Inference (Mathematical Statistics II), Statistical Learning II (Applied Multivariate Analysis), Data Science and Predictive Analysis (Health Science), Principles and Methods of Epidemiology, Strategy and Uses of Epidemiology Staff Development Program courses 2011 - 2014

· Risk Management at the Korea Banking Institute; SAS at Seoul National University’s Statistical Research Institute; and Financial Engineering from the Financial Risk Management of Korea

Five courses through an Internal Staff Development program 2011 - 2014

· Including Shipping Market Research and Shipping Finance in the Shipping Industry BS in Statistics and Actuarial Science, Soongsil University, Seoul, Korea 2005 - 2011

· Related Coursework : Calculus I, II(Covers multivariable calculus), Linear Algebra I, II(Graduate level), Applied Probability Theory(Graduate level), Statistical Mathematics I, II, Computer Practice I, II (Excel VBA, R), Programming Lab (C++), Numerical Analysis, Regression Analysis I, II(Graduate level), Multivariate Analysis, Statistical Inference, Analysis of Categorical Data, Mathematical Foundation for Finance, Financial Mathematics, Design of Experiment, Sampling Theory, Quality Control, Management Science, Introduction to Economics, Actuarial Practice


Data Analyst, Child and Adolescent Data Lab, School of Social Work, Jan 2019 – present University of Michigan

· Project 1 : Technical assistance and analytic support to the Data Management Unit of Division of Continuous Quality Improvement at the Michigan Department of Health and Human Services

- Update and report on federal performance measures computed using the Adoption and Foster Care Analysis and Reporting System and the National Child Abuse and Neglect Data System data on a monthly basis

- Review and validate specific report files for commitments under federal monitoring covered by the Michigan state’s the Implementation, Sustainability, and Exit Plan agreement

· Project 2 : Data analysis for datasets received from Michigan Department of Health and Human Services

- Preprocess the large dataset of tables prepared by MIDHHS under our data sharing agreement including data cleaning

- Analyze associations between allegations for child abuse/neglect and placement status and report the performance of measurements using multiple datasets Research Area Specialist (Full-time), Center for Social Epidemiology May 2019 – Dec 2019 and Population Health (CSEPH), Department of Epidemiology, School of Public Health, University of Michigan

(Supervisor : Jennifer Smith, PhD)

· Project 1 : Intern Health Study

- Quality controlling by checking sample/probe identity by investigating density plots and bisulfite conversion, conducting principal component analysis, gender matching, normalization, regression on correlated probes and batch adjustment

- Determining if the increase in depressive symptoms during medical internships is associated with changes in DNA methylation and to determine if the differences in gender in DNA methylation occurs with the occurrence of gender differences in psychiatric symptoms

· Project 2 : Genetic Epidemiology Network of Arteriopathy (GENOA) African-American genome-wide DNA methylation quantitative trait locus (mQTL) analysis

- Characterizing the complex relationship between genetic, epigenetic, and transcriptomic variation to understand the mechanisms underpinning health and disease phenotypes for African American in GENOA cohort

- Identifying significant mQTL associations between about 5 billion genetics variants and more than 850k DNA methylation sites using Illumina Infinium MethylationEPIC BeadChip

Research Assistant, Department of Epidemiology, School of Public Health, Sep 2018 – Apr 2019 University of Michigan

(Supervisor : Rafael Meza, PhD)

· The first researcher of the Center for the Assessment of the Public Health Impact of Tobacco Regulations, a part of the NIH and FDA's Tobacco Centers of Regulatory Science

· Population Assessment of Tobacco and Health (PATH) study

- Longitudinal data analysis on tobacco use data

- Estimate the prevalence, initiation, and cessation of e-cigarette use to develop models of tobacco simulation

- Compute probabilities of transitioning from non-user to user for initiation and user to non-user for cessation

Graduate Student Instructor (GSI, Teaching Assistant), Department of Sep 2018 – Dec 2018 Statistics, University of Michigan

· STATS150 (Making Sense Of Data) : Instructing students to understand the basics of how to design a survey, study or experiment; How the type of conclusion we draw from a data set is related to how the data were collected; How to create and interpret numerical summaries and graphical displays that show the salient features of data; Basics concepts of probability, uncertainty, and randomness; How to spot statistical issues in the media and assess the truth of the claims made; How to interpret statistical inferences made using confidence intervals and significance tests.

Research Assistant, Statistics Online Computational Resource (SOCR), May 2018 – May 2019 University of Michigan (Supervisor : Ivo Dinov, PhD)

· Involved in mathematical modeling, statistical analysis, computational processing and visualization of biomedical Big Data

· Project 1 : A Data Value Metric for Quantifying the Information Content of Big Data Sets

- Developing a new measure that quantifies the useful information content of large and complex datasets to determine if appending, expanding, or augmenting a dataset may be beneficial in specific application domain

- Conducting simulations applying supervised and unsupervised regression, classification, clustering and feature extraction methods to multiple datasets, such as Amyotrophic Lateral Sclerosis

· Project 2 : SpectrumMap : Advanced Computational Phenotypes (ACP)

- Applying machine learning and deep learning methods to predict and diagnosis diseases

- Using brain MRI data, computationally derive features, clinical and genomics data to predict specific clinical traits, to predict phenotypes and subject clusters

- Participated in the data science poster competition at 2018 Michigan Institute for Data Science(MIDAS) symposium

· Project 3 : Mothers-Babies Obesity

- Gave a talk in 2018 SOCR Health Data Analytics Training Workshop (Oct 2018)

- Collaborating with the Weight Management Group of the Nutrition and Obesity Center at University of Michigan

- Analyzing the relationship between maternal pre-conception BMI/comorbidity status and baby rate of growth

· Project 4 : A Machine Learning Approach for Evaluating Comorbidity Impact on 30-day Readmission Outcomes in Diabetes Patients

- Examining the significance of unplanned readmission within 30 days after discharged for diabetes patients

- Statistical analyses using machine learning methods such as logistic regression, lasso regression and decision tree

Assistant Manager, SK Shipping Co., Ltd., Seoul, Korea Jan 2015 – Apr 2017 Gas Carrier Operations Team

· Statistical modeling to measure the financial performance of the gas carrier business unit of SK Shipping

· Multivariable analysis and regression analysis to optimize the profit/loss for each vessel Assistant Manager, SK Shipping Co., Ltd., Seoul, Korea Jan 2014 – Jan 2015 Gas Carrier Project Team

· Statistical simulations to examine the feasibility and establish the criteria for projects, and provide operation manual to the Gas Carrier Division

· Developed prediction models for the global transportation projects including Global LNG carrier Tender (U.S. Shale Gas transport vessels)

· Co-worked with Shell, BP, Marubeni, Itochu, Total, KOGAS and affiliate companies of SK (SK HOLDINGS CO., LTD) group

SK Shipping Co., Ltd., Seoul, Korea Jan 2011 – Jan 2014 Risk Management Team

· Developed and modeled risk management tools to quantify the risks of business portfolios

· Optimize the database and reported the risk amount and threshold to the top management

· Quantified risks using Value-at-Risk (VaR) by the Monte Carlo method and Cash-Flow-At-Risk (CFAR)

Data Analyst, Korea Health Industry Development Institute Jul 2010 – Sep 2010 Industry Statistics & Analysis Division

· Data management for big data sets collected from the Korean Ministry of Health and Welfare

· Conducted the descriptive data analysis for food and drug data sets Military Service at 9th Division, ROK Army, Gyeonggi-do Jan 2006 – Jan 2008 Strategy/Intelligence management soldier

· Organizing and planning education programs

· Created and managed confidential data base for military security PUBLICATIONS

· Morteza Noshad, Jerome Choi, Yuming Sun, Alfred Hero III, Ivo D. Dinov. A Data Value Metric for Quantifying the Information Content of Big Data Sets. 2019. Under Review

· Jae Min Shin, Young Bin Bok, Jerome Choi, Ting Luo, Nevile J. McDonald. Treatment Outcome of Primary Root Canal Therapy on Mandibular Molars Based on AAE Outcome Guideline: The Michigan Study. 2019. Under Review

· Thitiporn Sukaew, Chutimon Sindhupram, Jerome Choi, Ivo D. Dinov. A Machine Learning Approach for Evaluating Comorbidity Impact on 30-day Readmission Outcomes in Diabetes Patients. 2019. In Preparation


· Languages : English(advanced), Korean(advanced), Japanese(intermediate)

· Programming : Proficient in R, Python, SAS, UNIX, C++, SPSS and STATA

· Software : Proficient in Microsoft Excel/Word/Powerpoint

· Software (Genetics) : Proficient in Plink, Genome Studio and Rvtest

· Certified MOS master’s program

· Cardiopulmonary resuscitation (CPR) certificate


· Graduate Student Instructor(GSI) of the Department of Statistics, Sep 2018 University of Michigan for the Fall Term 2018 (100% Tuition waiver)

· SKMS Best Employee Award (USD $1,000.00) from SK Shipping Jan 2015

· Awarded a five-semester merit scholarship from Soongsil University Mar 2005 – Feb 2011

(USD $15,000.00)

· Exemplary Volunteer Award from the Federation of Korean Industries Sep 2010

· Best Math Tutor Award from Soongsil University Jun 2010

· National Security Award for the 9th Division from President of Korea, Roh Moo-hyun Oct 2007 TRAVELED CITIES

· Boston, New York City, Minneapolis, St. Paul, Chicago, Los Angeles, San Francisco, Palo Alto Columbus, Indianapolis, Pittsburg, Miami, Champaign, Houston, Detroit, Philadelphia, Baltimore, Washington DC, Atlanta, and Guam in the U.S.; Montreal, Toronto in Canada; Istanbul, Ankara, Cappadocia, and Pamukkale in Turkey; Tokyo and Osaka in Japan; Rome, Venice, Venezia, and Firenze in Italy, Paris in France


· Volunteering with Migrant Education Program (MEP) Jul 2018 – Jul 2018

· Wolverine Speedskating Club Sep 2017 – present

· Ann Arbor Fighters Baseball club Jul 2017 – present

· Friday Tennis club Jul 2017 – present

· Manager at SK Shipping Poseidon Baseball team Jan 2014 – Jan 2017

· Economic & Social issues Discussion club Jul 2014 – Nov 2016

· Saint Morris Baseball club Mar 2013 – Dec 2016

· White Bear Short track Skating club Feb 2012 – Dec 2016

· Volunteer at the Federation of Korean Industries May 2009 – Dec 2010

· Cucis Statistics and Programming Mar 2005 – Mar 2010

· Volunteer at Interact club Mar 2001 – Feb 2003

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