Jie Ren
Assistant Professor Of Biostatistics
Indianapolis, Indiana, United States
Summary
👤
Senior🎓
Top SchoolJie Ren is an Assistant Professor of Biostatistics with nine years of experience developing statistical methods, tools, and software for large-scale biological data, combining a PhD in Statistics with hands-on bioinformatics origins. Her work spans high-dimensional data analysis, Bayesian sparse learning, multi-modal integration, and RNA-seq, and she has served as primary biostatistician or co-investigator on multiple externally funded studies across infectious disease, immunology, cancer, concussion, and aging. She translates complex statistical concepts for clinicians and cross-disciplinary teams and has applied her skills in industry settings—contributing to a patent application while building sequencing pipelines at Illumina. Known for pragmatic solutions, she blends rigorous semi-parametric and longitudinal methods with modern machine learning to tackle real-world biomedical questions.
9 years of coding experience
Bachelor of Science (B.S.), Biochemistry and Molecular Biology, Bachelor of Science (B.S.), Biochemistry and Molecular Biology at China Agricultural UniversityMaster’s Degree, Veterinary Biomedical Sciences, Master’s Degree, Veterinary Biomedical Sciences at Kansas State University
Github Skills (10)
logistic-regression10
r-package10
regularization10
survival9
variable-selection9
network9
generalized-linear-models7
bayesian7
visual-recognition1
convolutional-neural-networks1
Programming languages (3)
Github contributions (5)
jrenstat/regnet
Apr 2017 - Aug 2022
Network-Based Regularization for Generalized Linear Models
Contributions:84 commits, 83 pushes, 1 branch in 5 years 5 months
generalized-linear-modelsregularizationcancer-prognosislogistic-regressionnetwork
jrenstat/roben
Apr 2020 - May 2026
Robust Bayesian variable selection for gene-environment interactions
Contributions:20 pushes, 1 branch in 6 years 2 months
selectionvariable-selectiongeneinteractionsvariable
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