Summary
Chong Wu is an Assistant Professor of Biostatistics at MD Anderson Cancer Center with 11 years of experience developing data-driven methods and open-source software for high-dimensional genomics. His research blends statistical genetics, causal inference (notably Mendelian randomization and TWAS), and machine learning to identify causal biomarkers and improve risk prediction for diseases including prostate and pancreatic cancer and Alzheimer's. He leads NIH-funded projects (an R01 and an R03 totaling about $3.8M) and has a strong track record collaborating with large cancer consortia. Comfortable spanning theory, software, and applied genomics, he builds integrative genetic risk scores and user-friendly tools for messy, large-scale data. Trained with a PhD in Biostatistics from the University of Minnesota and a BS in Mathematics from HUST, he combines rigorous methodology with practical implementation and an eye for translational impact. An often-overlooked strength is his sustained commitment to reproducible open-source releases and consortium teamwork that accelerate field-wide adoption.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.S.), Mathematics and Applied Mathematics, Bachelor of Science (B.S.), Mathematics and Applied Mathematics at Huazhong University of Science and Technology
University of Minnesota Twin Cities
Chinese, English