Gang Chen
Mathematical Statistician
Derwood, Maryland, United States
Summary
👤
Senior🎓
Top SchoolGang Chen is a mathematical statistician with 21 years of experience applying Bayesian inference and complex multilevel modeling to real-world biomedical data at the NIH. He specializes in hierarchical and longitudinal modeling, smoothing-spline nonlinear methods, time series and meta-analysis, with a focus on individual differences, reliability, and parsimonious regularization. His work blends rigorous probabilistic thinking with practical attention to data-generating mechanisms, making him adept at teasing apart sparse effects in noisy measurement contexts. Prior to the NIH he contributed quantitative and physiological modeling at Physiome Sciences, bringing domain awareness to statistical solutions. Based in Derwood, Maryland, he combines long-term government research experience with a persistent emphasis on reproducible, interpretable inference. Colleagues value his ability to translate complex statistical theory into robust analyses that inform policy and science.
21 years of coding experience
4 years of employment as a software developer
The University of Arizona
Github Skills (25)
mri10
brms10
visualization10
r-package10
statistics10
statistical-inference10
multilevel10
statistical-models10
stan10
bayesian9
bayesian-inference9
mcmc8
bayesian-statistics8
decomposition8
prediction5
Programming languages (5)
Github contributions (5)
afni-gangc/afni-gangc.github.io
May 2022 - Jun 2023
Contributions:119 pushes, 1 branch in 1 year
afni-gangc/tlm
Sep 2020 - Jul 2024
Contributions:12 pushes, 3 branches in 3 years 10 months
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