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Education

present Ph.D. candidate, Statistics
Department of Statistics, University of Wisconsin
Advisor: Christina Kendziorski

2011 M.S., Statistics
Department of Statistics, Korea University, Seoul, South Korea
Advisor: HyungJun Cho

2009 B.S., Statistics
Minor in Financial Engineering
Department of Statistics, Korea University, Seoul, South Korea

Work Experience

2016 Summer Biostatistics Intern
Novartis Oncology, East hanover, NJ

2014 - Present Research Assistant
Department of Biostatistics and Medical Informatics, University of Wisconsin

2012-2014 Research Assistant
Department of Statistics, University of Wisconsin

Summer 2012 Project Assistant
Department of Marketing, School of Business, University of Wisconsin

2011-2012 Teaching Assistant
Department of Statistics, University of Wisconsin

Spring 2011 Instructor
Department of Statistics, Duksung Women's University, Seoul

2011 Statistical Intern
Korea Basic Science Institute, Seoul, South Korea

2010 Statistical Intern
Statistics Center in Samsung Bio-Medical Research Institute, Seoul, South Korea

2008-2010 Teaching Assistant
Department of Statistics, Korea University, Seoul, South Korea

Publications

Choi, J., Ning, L., Chu, L-F., Stewart, R., Thomson, J., and Kendziorski, C., SCDC: A statistical approach for reducing nuisance variability due to oscillating genes in unsynchronized single-cell RNA-seq experiments, 2016, In preparation.

Chu, L-F*., Leng, N*., Zhang, J., Hou, Z., Mamott, D., Vereide, D.T., Choi, J., Kendziorski, C., Stewart, R., and Thomson, J., Single-cell RNA-seq reveals novel regulators of human embryonic stem cell differentiation to definitive endoderm, 2016, Submitted.[*co-first authors]

Choi, J., Ye, S., Eng, K.H., Korthauer, K., Bradley, W., Rader, J., and Kendziorski, C., IPI59: an actionable biomarker to improve treatment response in serous ovarian carcinoma patients, Statistics in Bioscience, 2016.

Ning, L*., Chu, L-F*., Choi, J., Kendziorski, C., Thomson, J., and Stewart, R., A statistical approach to characterize expression changes in single cell RNA-seq experiments with ordered conditions, Bioinformatics, 2016, Submitted. [*co-first authors]

Ning, L., Choi, J., Chu, L-F., Thomson, J., Kendziorski, C., and Stewart, R. OEFinder: A user interface to identify and visualize ordering effects in single-cell RNA-seq data, Bioinformatics, 2016, btw004.

Ning, L*., Chu, L-F*., Barry, C., Li, Y., Choi, J., Li, X., Jiang, P., Stewart, R., Thomson, J., and Kendziorski, C., Oscope: a pipeline for identifying oscillatory genes in unsynchronized single cell RNA-seq experiments, Nature Methods, 12(10):947-950, 2015 [*co-first authors].

Choi, J., Park, D., Eo, SH., and Cho, H. Improving the Risk Classification using Random Regression in High-Throughput High-Dimensional Survival Data, International Journal of Information Processing and Management, 5:1-9, 2014.

Eo, SH., Park, DW., Choi, J., and Cho, HJ. Outlier Detection using Projection Quantile Regression for Mass Spectrometry Data with Low Replication, BMC Research Notes, 5(236):1-9, 2012.

Yoon, CH., Youn, TJ., Ahn, S., Choi, DJ., Cho, GY., Chae, IH., Choi, J., Cho, H., Han, S., Cho, MC., Jeon, ES., Chae, SC., Kim, JJ., Ryu, KH., Oh, BH., Low Serum Total Cholesterol Level Is a Surrogate Marker, But Not a Risk Factor, for Poor Outcome in Patients Hospitalized With Acute Heart Failure: A Report From the Korean Heart Failure Registry, Journal of Cardiac Failure, 18: 194-201, 2012.

Awards and Honors

2015 Vilas Conference Presentation Grant

2014 Scholarship - Jackson Laboratory short course on Systems Genetics

2008 Student Ambassador Working Grant, Korea University, Seoul

Last updated Apr. 2016