Will Townes is an Assistant Professor of Statistics and Data Science at Carnegie Mellon University with 15 years of experience translating noisy, large-scale data into robust statistical and machine learning insights. His trajectory spans a PhD in Biostatistics from Harvard, postdoctoral research at Princeton, and applied work from emissions systems testing to community-based ecology as a Fulbright Scholar, giving him a rare blend of rigorous methodology and real-world problem framing. He focuses on developing methods that handle imperfect data and complex dependence structures, and he has a strong teaching and mentorship record across top universities. Based in Pittsburgh, he combines classical statistical training with modern machine learning practice to tackle interdisciplinary challenges in health and environmental data.
15 years of coding experience
9 years of employment as a software developer
North Carolina School of Science and Mathematics
MS, Mathematics and Statistics, MS, Mathematics and Statistics at Georgetown University
PhD, Biostatistics, PhD, Biostatistics at Harvard University
B.S., Biology, B.S., Biology at Washington and Lee University
Contributions:1 release, 23 commits, 12 pushes in 11 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.
Request Free Trial
Will Townes - Assistant Professor at Carnegie Mellon University