BrendenĀ Petersen
Director Of AI at Lam Research
Dublin, California, United States
Summary
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Top SchoolBrenden Petersen is a hands-on AI leader and researcher with nine years of experience building and deploying large-scale machine learning systems, currently serving as Director of AI at Lam Research. He specializes in deep reinforcement learning, multi-objective optimization, LLMs, and AutoML, and has a strong publication record in top-tier conferences. Brenden progressed from postdoctoral research to senior scientific leadership at Lawrence Livermore National Laboratory before moving into industry, blending rigorous academic training (PhD in Bioengineering) with practical production delivery. He is the creator of the Deep Symbolic Optimization package, reflecting a rare combination of theoretical depth and usable open-source tooling. Based in Dublin, California, he is known for translating complex research into scalable engineering solutions that address real-world optimization and modeling challenges.
9 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering, 4.0, Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering, 4.0 at University of California, BerkeleyDoctor of Philosophy - PhD, Bioengineering and Biomedical Engineering, 4.0, Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering, 4.0 at University of California, San FranciscoMaster of Science - MS, Bioengineering and Biomedical Engineering, 3.96, Master of Science - MS, Bioengineering and Biomedical Engineering, 3.96 at University of California, Los Angeles
Github Skills (60)
machine-learning10
optimization10
sdk9
deep-reinforcement-learning9
gaussian8
reinforcement-learning8
hyperparameters8
toolbox8
pytorch7
openai7
openai-gym7
mahjong7
tailwindcss7
prompt7
regression7
Programming languages (3)
Github contributions (5)
dso-org/deep-symbolic-optimization
Apr 2019 - Dec 2021
Source code for deep symbolic optimization.
Contributions:3 releases, 1259 commits, 5 PRs in 2 years 8 months
optimizationsymbolicmachine-learning
brendenpetersen/srbench
May 2022 - May 2022
A living benchmark framework for symbolic regression
Contributions:15 pushes, 1 branch in 4 days
regressionbenchmarkingsymbolic-regressionbenchmark-frameworkbenchmark
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