Mitch Hill
Staff Research Scientist at InnoPeak Technology, Inc.
Issaquah, Washington, United States
Summary
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Senior🎓
Top SchoolMitch Hill is a Staff Research Scientist at InnoPeak Technology with eight years of experience specializing in computer vision and deep generative models. He earned a Ph.D. in Statistics from UCLA, conducting research under Dr. Song-Chun Zhu in the Center for Vision, Cognition, Language, and Autonomy, and previously served as an assistant professor at the University of Central Florida. Mitch blends rigorous statistical training with applied ML research to develop models that bridge visual cognition and generative modeling. He is based in Issaquah, Washington, and brings both academic rigor and industry focus to production-facing research. Notably, his background in both mathematics and statistics from the University of Chicago gives him a strong theoretical foundation that informs practical model design.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at University of ChicagoDoctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at University of California, Los AngelesBachelor of Arts - BA, Statistics, Bachelor of Arts - BA, Statistics at The University of Chicago
Github Skills (4)
algorithm7
mcmc7
pytorch5
energy1
Programming languages (1)
Github contributions (5)
point0bar1/point0bar1.github.io
Oct 2019 - Aug 2022
Contributions:186 pushes, 1 branch in 2 years 10 months
point0bar1/ebm-anatomy
Nov 2019 - May 2020
PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"
Contributions:1 release, 28 commits, 27 pushes in 5 months
mcmcpytorch
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