Summary
Yinsen Miao is a data science leader and Ph.D. statistician with 11 years of experience building scalable Bayesian and machine learning systems across energy, finance, and consumer finance. Currently Director of Data Science for Generative AI at Fidelity, he combines deep probabilistic modeling expertise with hands-on work in deep reinforcement learning and practical deployments. His prior work at Shell produced autonomous Bayesian geosteering tools used on hundreds of wells and featured in high-profile presentations, and his Quantlab internship yielded a state-space model that advanced yield-curve forecasting. Comfortable bridging research and production, he has shipped patented algorithms and trading strategies with measurable business impact. Based in Cambridge, MA, he pairs rigorous academic training with a demonstrated appetite for exploring new ML paradigms like deep learning and RL.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Statistics, Doctor of Philosophy (Ph.D.) Statistics at Rice University
Bachelor of Science (BS) Applied Mathematics, Bachelor of Science (BS) Applied Mathematics at Minzu University of China
English, Chinese