Paul Gasper is a data scientist with 11 years of experience applying statistical modeling and machine learning to life science problems, currently driving analytics at Meta from the San Francisco Bay Area. He pairs a PhD in Chemistry with hands-on skills in Python, SQL, and reproducible pipelines to turn noisy biological time series and experimental data into actionable insights. His work ranges from generative, physics-based models of RNA dynamics in academic research to production-focused model selection and feature engineering for industry problems, including projects that reduced required sample data by two-thirds. Comfortable communicating results to both technical and non-technical audiences, he combines rigorous hypothesis testing and power analysis with practical data management and visualization to guide decision-making.
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.