Jacob Pettit
Machine Learning Researcher at Lawrence Livermore National Laboratory
Livermore, California, United States
Summary
👤
Senior🎓
Top SchoolJacob Pettit is a machine learning researcher with nine years of experience applying ML to real-world challenges at Lawrence Livermore National Laboratory, where he focuses on practical, high-impact research spanning autonomous systems and ML-enabled drug design. Grounded in a BS in Computational Science from Florida State University and honed through research roles and internships, he blends theoretical rigor with hands-on engineering to move models from concept toward deployment. Known for "making machines learn" at LLNL, he brings domain awareness of national-lab scale problems and sensitivity to safety and robustness in critical systems. Colleagues describe him as driven by a mission to better the world through ML and skilled at translating interdisciplinary problems into tractable computational solutions.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Computational Science, Bachelor of Science - BS, Computational Science at Florida State University
Github Skills (28)
simulation10
robotics10
kinematics10
simulator10
bullet10
pybullet10
q-learning10
reinforcement-learning9
bullet-physics9
collision-detection9
physics-engine9
gymnasium9
collision9
physics9
sdk9
Programming languages (3)
Github contributions (5)
jfpettit/flare
Mar 2019 - Mar 2022
Modular Reinforcement Learning in PyTorch.
Contributions:80 commits, 6 PRs, 122 pushes in 3 years
pytorchreinforcement-learning-algorithmsa2cdeep-learningmachine-learning-algorithms
jfpettit/rl_bolts
Aug 2020 - Aug 2020
Contributions:14 commits, 10 pushes in 7 days
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