Zachary T. Rewolinski
Statistics PhD Student @ UC Berkeley
I am a third-year PhD student in the Department of Statistics at UC Berkeley, advised by Bin Yu.
My research is primarily focused on ensuring that machine learning models are trustworthy of making real-world decisions in high-impact fields such as finance, medicine, criminal justice, and more. My research is supported by the NSF Graduate Research Fellowship.
I am also an Associate (part-time) Analyst with the San Diego Padres Research & Development team.
I graduated from Rice University in 2023 with a B.S. in Statistics, a B.S. in Computer Science, and a B.A. in Mathematics. While at Rice, I was fortunate to work with Genevera Allen.
Recent News
November 2025: I have returned to the San Diego Padres R&D team as an Associate Analyst.
October 2025: Our paper PCS Workflow for Veridical Data Science in the Age of AI has been accepted to Philosophical Transactions of the Royal Society A!
June 2025: A preprint for our paper PCS Workflow for Veridical Data Science in the Age of AI is available.
June 2025: A preprint for our paper Local MDI+: Local Feature Importances for Tree-Based Models is available.
June 2025: I started my internship with the San Diego Padres Research & Development team.