Yinsen Miao

Director Data Science - Generative AI

Cambridge, Massachusetts, United States
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Summary

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Senior
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Top School
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.
code11 years of coding experience
job7 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.) Statistics, Doctor of Philosophy (Ph.D.) Statistics at Rice University
bookBachelor of Science (BS) Applied Mathematics, Bachelor of Science (BS) Applied Mathematics at Minzu University of China
languagesEnglish, Chinese
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Github Skills (18)

integer8
mixed-integer-programming7
nonlinear7
julia7
optimization6
variable-selection6
mathematical6
mathematical-programming6
modeling5
linear-programming5
nonlinear-programming5
linear-optimization4
bayesian4
scalable2
mathematical-optimization2

Programming languages (2)

JuliaC++

Github contributions (5)

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yinsenm/gerber

Jun 2021 - Sep 2022

Contributions:3 commits, 2 pushes, 1 branch in 1 year 3 months
yinsenm/yinsenm.github.io

Jan 2015 - Aug 2016

Contributions:31 pushes in 1 year 7 months
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