Peter Wills is a Senior Data Scientist with a Ph.D. in Applied Mathematics and 11 years of experience building production ML systems and high-performance data platforms. He has led forecasting, classification, and detection projects across companies from Stitch Fix to Abnormal Security and now EquipmentShare, delivering large reductions in forecasting error, missed-attack rates, and processing costs. Comfortable in both research and production, he bridges theoretical work (publications in Physical Review B and computational statistics) with pragmatic ML ops, graph algorithms, and Spark-based pipelines processing tens of terabytes. A polyglot practitioner who prefers Python, Scala, and Emacs, he combines rigorous modeling and optimization skills with hands-on platform engineering to take prototypes into scalable, efficient services. Based in Ithaca, NY, he’s as likely to improve a forecasting metric as he is to redesign the ML architecture that serves it.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.S.), Physics, Bachelor of Science (B.S.), Physics at Reed College
Doctor of Philosophy (Ph.D.), Applied Mathematics, Doctor of Philosophy (Ph.D.), Applied Mathematics at University of Colorado Boulder
Contributions:53 commits, 8 pushes, 1 branch in 3 years 1 month
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