Michael Gerovitch
AI Policy Assistant at White House Office of Science and Technology Policy
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolMichael Gerovitch is an AI policy specialist and MIT-trained computer scientist combining 12 years of technical and policy experience to shape secure, trustworthy AI. Currently serving as an AI Policy Assistant at the White House OSTP and a graduate researcher at MIT CSAIL, he bridges hands-on ML research—especially work on interpreting LLM internals—with practical policy development. His background spans federal internships (House Science Committee, NIST), industry cloud engineering, and robotics research, giving him a rare fluency in both governance and engineering. He’s contributed to automated tools for probing model behavior and built simulation and prediction systems in autonomous driving and pedestrian modeling. Based in Cambridge, he leverages academic rigor and government experience to translate technical risk into actionable standards. Colleagues note his ability to move quickly between code, research, and legislative priorities—making complex AI topics accessible to policymakers.
12 years of coding experience
3 years of employment as a software developer
Master of Engineering - MEng Computer Science and Engineering, Master of Engineering - MEng Computer Science and Engineering at Massachusetts Institute of TechnologyHigh School Diploma, High School Diploma at Natick High School
Russian, English
Github Skills (26)
parallel9
simulation9
heat9
multiphysics8
amr8
image-gallery8
web-application7
fluid7
mamba7
python7
finite-element-analysis6
chemistry6
php6
photo-gallery6
photography6
Programming languages (5)
Github contributions (5)
shortlab/mamba
Apr 2014 - Dec 2016
Contributions:2 releases, 25 commits, 2 PRs in 2 years 8 months
chemistryheat-transfercode-flowfluidheat
shortlab/IM3D
Jul 2014 - Oct 2021
Contributions:10 commits, 2 pushes, 5 comments in 7 years 4 months
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