Summary
Bernard Chu is a data scientist based in Providence, RI, with nine years of quantitative experience and six years focused on applied machine learning in industry settings. He holds an MS in Biostatistics from Brown (4.0) and additional graduate training in biology, blending strong statistical foundations with domain knowledge in biotech. Since 2019 he has driven predictive modeling and analytics at Protective Life, translating complex data into actionable risk and product insights. Prior roles include statistical consulting at Brown’s Center for Statistical Sciences, where he honed experimental design and stakeholder-facing communication. Bernard’s background in biotechnology and biostatistics gives him a distinctive edge in applying deep learning and predictive methods to life‑science and insurance problems. He is an active learner with a track record of turning rigorous academic training into practical, production-ready models.
9 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Biostatistics, 4.0, Master of Science - MS, Biostatistics, 4.0 at Brown University
Bachelor of Science - BS, Biotechnology, 3.58, Bachelor of Science - BS, Biotechnology, 3.58 at Ocean University of China
Master of Science - MS, Biology, General, 3.91, Master of Science - MS, Biology, General, 3.91 at University of Oklahoma