Assistant Professor at Columbia University in the City of New York
New York, New York, United States
Join Prog.AI to see contacts
Join Prog.AI to see contacts
Summary
👤
Senior
🎓
Top School
Gao Wang is an Assistant Professor at Columbia University and a computational biologist with 11 years of experience focused on the genetics of brain diseases. Trained with a PhD in Structural Computational Biology and Molecular Biophysics and a postdoc in Statistical Genetics from the University of Chicago, he combines structural insight with population-scale statistical methods. His work bridges molecular mechanisms and genetic association studies to uncover biological drivers of neurological disorders. Based in New York, he runs an academic program that translates computational methods into hypotheses testable in the lab and clinic. Colleagues describe him as comfortable moving between deep quantitative modeling and biologically grounded questions, bringing rigorous statistical genetics to complex neurobiological problems.
10 years of coding experience
Doctor of Philosophy - PhD, Structural Computational Biology and Molecular Biophysics, Doctor of Philosophy - PhD, Structural Computational Biology and Molecular Biophysics at Baylor College of Medicine
Postdoc, Statistical Genetics, Postdoc, Statistical Genetics at University of Chicago
In house simulation R package to support investigations of various QTL association methods
Contributions:7 reviews, 5 PRs, 12 pushes in 1 year 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.