Matthew Stetz
Associate Director, Analytical AI, International Predictive Customer Engagement
Philadelphia, Pennsylvania, United States
Summary
🤩
Rockstar🎓
Top SchoolMatthew Stetz is an analytical AI leader with eight years of experience building ML-driven customer engagement and operations products across pharma, CROs, and biopharma manufacturing. Currently Associate Director at Bristol Myers Squibb, he designs next-best-action prediction and omnichannel orchestration for oncology, hematology, cardiovascular and immunology teams. Previously he applied ML, active learning, and optimization at GSK to accelerate CMC development and led client-facing data science at Medidata to improve clinical trial feasibility and site identification. Trained as a biophysicist (PhD, University of Pennsylvania), he blends quantitative research rigor with product-focused delivery and data governance expertise. On GitHub he contributes to educational data-science notebooks, emphasizing clarity in explaining core algorithms like gradient descent—a hint at his commitment to making complex methods accessible.
8 years of coding experience
4 years of employment as a software developer
PhD Biophysics, PhD Biophysics at University of Pennsylvania
Github Skills (5)
jupyter-notebook10
gradient-descent10
data-science10
python9
machine-learning8
Programming languages (2)
Github contributions (5)
learn-co-students/dsc-sql-recap-seattle-ds-career-051319
Sep 2019 - Oct 2019
Contributions:9 commits, 5 pushes, 1 branch in 29 days
learn-co-students/gradient-descent-dc-ds-021720
Sep 2019 - Sep 2019
Contributions:14 pushes in 1 day
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