Summary
Matthew Paff is a Director of Data Science based in Austin with nine years of experience translating molecular biology expertise into production-grade machine learning and analytics products. He combines a PhD in Cell and Molecular Biology with hands-on leadership building consumer intelligence platforms, real-time anomaly detection, and automated data pipelines for clients from startups to Fortune 500s and hedge funds. Past roles include architecting graph- and relational-backed entity resolution and address validation systems, delivering models that outperformed Wall Street consensus, and deploying streaming analytics on GCP. Known for bridging wet-lab rigor with scalable engineering, he’s comfortable moving projects from experimental RNA‑seq analyses to production microservices and automated ETL.
9 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (PhD) Cell and Molecular Biology, Doctor of Philosophy (PhD) Cell and Molecular Biology at The University of Texas at Austin