Summary
Alex Yakubovich is a Senior Research Data Scientist with 13 years of experience and a deep specialization in applied ML and statistical modeling, including 8+ years at Google/YouTube focused on Core ML, Health AI, and algorithmic responsibility for recommendation and search systems. He has led efforts to improve human data quality for Gemini and applied clinical NLP/LLMs, bringing rigorous experimental design and production-ready pipelines to high-stakes applications. Earlier roles in games and fintech show a track record of turning analytics into operational systems—such as a lifetime value prediction pipeline and a Bayesian A/B testing R package used by product teams. Alex combines strong academic training in mathematics and statistics with hands-on experience in model deployment and evaluation at scale, and he has repeatedly bridged research, product, and policy concerns around model behavior. Based in New York, he’s comfortable navigating both technical depth and cross-functional collaboration in large engineering organizations.
13 years of coding experience
8 years of employment as a software developer
B.A.Sc. (Honours) Mathematics, B.A.Sc. (Honours) Mathematics at McMaster University
Master of Arts (M.A.) Mathematics and Statistics, Master of Arts (M.A.) Mathematics and Statistics at York University
Russian, Hebrew