Will Townes

Assistant Professor at Carnegie Mellon University

Pittsburgh, Pennsylvania, United States
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Summary

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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.
code15 years of coding experience
job9 years of employment as a software developer
bookNorth Carolina School of Science and Mathematics
bookMS, Mathematics and Statistics, MS, Mathematics and Statistics at Georgetown University
bookPhD, Biostatistics, PhD, Biostatistics at Harvard University
bookB.S., Biology, B.S., Biology at Washington and Lee University
languagesEnglish, Spanish
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Github Skills (140)

seq10
transcriptomics10
single-cell-analysis10
rna-seq10
tsne10
multinomial10
sublime-text9
printing9
sampling9
eigen9
principal-component-analysis9
boost9
stan9
seurat9
bioconductor9

Programming languages (8)

RShellC++CJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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willtownes/vamf-paper

Jul 2017 - Sep 2017

Contributions:13 commits, 13 pushes, 2 branches in 2 months
willtownes/nsf-paper

Oct 2021 - Sep 2022

Contributions:1 release, 23 commits, 12 pushes in 11 months
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Will Townes - Assistant Professor at Carnegie Mellon University