Will Townes
Assistant Professor at Carnegie Mellon University
Pittsburgh, Pennsylvania, United States
Summary
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Senior🎓
Top SchoolWill 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 MathematicsMS, Mathematics and Statistics, MS, Mathematics and Statistics at Georgetown UniversityPhD, Biostatistics, PhD, Biostatistics at Harvard UniversityB.S., Biology, B.S., Biology at Washington and Lee University
English, Spanish
Stackoverflow
1,817reputation
891kreached
11answers
11questions
stdout
top-5%
printing
top-5%
Github Skills (99)
rna-seq10
sublime-text9
printing9
single-cell-analysis9
principal-component-analysis9
stan9
seurat9
bayesian-data-analysis9
bioconductor9
transcriptomics9
traits9
bioinformatics9
sublime-text-plugin9
r-package9
stdout9
Programming languages (10)
Github contributions (5)
willtownes/quminorm
Nov 2019 - Mar 2021
Turning the quasi-UMI method into a bioconductor package
Contributions:37 commits, 33 pushes, 1 branch in 1 year 4 months
bioconductor
willtownes/vamf-paper
Jul 2017 - Sep 2017
Contributions:13 commits, 13 pushes, 2 branches in 2 months
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