Marat Andreev
ML Computer Scientist at Peak Nano
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolMarat Andreev is an ML computer scientist and computational physicist with 11 years of experience building GPU-accelerated, physics-informed models and high-performance scientific software. After a decade of postdoctoral research at MIT, University of Chicago, and NIST, he now applies advanced ML and simulation techniques to nanotechnology problems at Peak Nano. His PhD in Physics from Illinois Institute of Technology underpins a strong foundation in condensed matter and soft-matter modeling, coupled with practical expertise in scaling algorithms on GPUs. Marat bridges academic rigor and product-driven engineering, translating complex physical models into deployable code for experimental workflows. Based in Chicago, he is comfortable collaborating across labs and startups, often operating at the intersection of theory, computation, and instrumentation. A detail that sets him apart is his sustained transition from foundational research to applied ML engineering in industry while retaining deep domain knowledge in computational physics.
12 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at Illinois Institute of TechnologyMaster's degree, Physics, Master's degree, Physics at Novosibirsk State University (NSU)
Github Skills (4)
polymer8
gpu7
cuda7
python5
Programming languages (1)
Github contributions (3)
ktaletsk/gpu_dsm
Sep 2014 - Mar 2020
đź”—Accessible quantitative polymer rheology predictions with slip-links on GPU
Contributions:16 commits, 7 pushes, 1 branch in 5 years 7 months
gpucudac-plus-pluspolymerrheology
dreid1991/md_engine
Feb 2016 - Jun 2017
GPU-implenemted MD engine with flexible python wrapper
Contributions:27 commits, 20 pushes in 1 year 4 months
gpupython
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