Han Chen
Professor at New York University
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolHan Chen is a Professor of biostatistics and genetic epidemiology in New York with a decade of experience translating large-scale genomic and public health data into actionable precision-health insights. Trained at Tsinghua, Columbia and Boston University (PhD), Han combines methodological depth in high-dimensional and computational statistics with applied work on gene–environment interactions and complex disease etiology. Prior roles at UTHealth, Harvard Chan and MD Anderson reflect a track record of building interdisciplinary programs in implementation data science and population precision health. Han’s work bridges statistical genetics, scalable computational methods, and public-health deployment—often tackling the practical challenges of integrating big genomic datasets into real-world epidemiology. Notably, Han has moved from bench-scale methodological research to leadership in academic centers that embed quantitative genetics within precision-health initiatives.
10 years of coding experience
13 years of employment as a software developer
M.A. Statistics, M.A. Statistics at Columbia UniversityB.S. Biology, B.S. Biology at Tsinghua UniversityPh.D. Biostatistics, Ph.D. Biostatistics at Boston University
English, Chinese
Github Skills (15)
region3
meta3
bioinformatics3
meta-analysis3
sequencing2
genome2
statistical-genetics2
procedure2
r-package2
genomics2
val1
svn1
genesis1
package-repository1
bioconductor1
Programming languages (4)
Github contributions (5)
hanchenphd/GMMAT
Mar 2018 - Jun 2022
Generalized linear Mixed Model Association Tests
Contributions:1 release, 2 reviews, 33 commits in 4 years 4 months
associationlinear
large-scale-gxe-methods/MAGEE
Nov 2021 - Jan 2025
Mixed-model Association tests for GEne-Environment interactions
Contributions:5 releases, 16 PRs, 39 pushes in 3 years 2 months
geneassociationinteractions
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