Rick Chang
Graduate Student Researcher
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolRick Chang is a biostatistician with nine years of quantitative research and data science experience, currently applying causal inference, survival analysis, and machine learning to large-scale omics and clinical datasets at Foundation Medicine. He holds a PhD in Biostatistics from the University of Pittsburgh and has a strong track record developing and validating statistical methodology across single-cell, imaging genomics, and population genetics studies. Rick combines deep theoretical training with practical programming skills in R, Python, SAS, and Unix, and has led projects from variant-level prediction algorithms for NGS to automated GWAS pipelines and antibiotic resistance models. He excels in cross-disciplinary collaboration and scientific communication, contributing to peer-reviewed publications and conference presentations while offering statistical consulting across cancer and infectious disease research. Notably, his work blends high-dimensional mediation and meta-clustering techniques with hands-on assay-aware modelling, bridging methodological innovation and translational genomic applications.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS Mathematics and Statistics, Bachelor of Science - BS Mathematics and Statistics at National Cheng Kung UniversityMaster of Science - MS Biostatistics, Master of Science - MS Biostatistics at National Taiwan UniversityExchange student/Guest Scientist Mathematics, Exchange student/Guest Scientist Mathematics at Freie Universität BerlinDoctor of Philosophy - PhD Biostatistics, Doctor of Philosophy - PhD Biostatistics at University of Pittsburgh
English, ChineseGithub contributions (5)
hung-ching-chang/NetworkHub
Feb 2019 - Mar 2020
Contributions:29 commits, 28 pushes, 3 branches in 1 year 1 month
Hung-Ching-Chang/Hung-Ching-Chang.github.io
Apr 2020 - Feb 2023
Contributions:87 pushes, 1 branch in 2 years 10 months
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