Summary
Katherine Amrine is a Decision Science Manager at Meta with 12 years of experience turning quantitative research into product-ready training and analytics programs. She designs and scales data training initiatives in emerging markets, having previously led program launches, admissions, and curriculum at Insight Data Science that placed 100+ data scientists into industry roles. Her background spans hands-on machine learning, Python, PostgreSQL, Docker, and product analytics, paired with a PhD in Quantitative and Systems Biology, giving her a strong bridge between rigorous research and practical ML/product work. She has managed cross-location teams and built pipelines from data acquisition to deployment, including automated ETL and dashboarding that supported new office launches. Notably, Katherine’s career began in computational biology and evolved into building training products and processes that align academic talent with industry needs. Based in Palo Alto, she combines enterprise decision science at Meta with a proven track record in education-driven product leadership.
11 years of coding experience
8 years of employment as a software developer
BS, Molecular Biology, BS, Molecular Biology at University of Wyoming
Doctor of Philosophy (PhD), Quantitative and Systems Biology, Doctor of Philosophy (PhD), Quantitative and Systems Biology at University of California, Merced