Ethan Brooks
Member Of Technical Staff at ReflectionAI
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolEthan Brooks is a machine learning researcher and Member of Technical Staff with 11 years of experience specializing in deep reinforcement learning and its intersection with natural language. He holds a PhD from the University of Michigan and has blended academic rigor with industry research through internships at DeepMind and Microsoft and applied roles at ReflectionAI. His work spans model-based planning, in-context learning, program synthesis, and leveraging large supervised models like GPT-X to bootstrap RL agents. Ethan’s background in Great Books philosophy informs a distinctive empiricist perspective on learning and representation, and his Marine Corps leadership experience underpins a pragmatic, disciplined approach to complex research problems. Based in New York, he brings both theoretical depth and hands-on skills in robotics simulation and policy optimization.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of MichiganGreat Books Philosophy History of Mathematics and Science, Great Books Philosophy History of Mathematics and Science at St. John's CollegeMaster's degree Computer Science, Master's degree Computer Science at University of Pennsylvania
Persian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (200)
simulator10
autocomplete10
hyperparameter-optimization10
automl10
robotics10
llm-inference10
trigger10
api10
neural-network10
data-science10
mongodb10
llm10
keras10
deep-neural-networks10
python10
Programming languages (27)
Github contributions (5)
ethanabrooks/dotfiles
Feb 2016 - Jun 2022
Contributions:241 pushes, 15 branches in 6 years 5 months
ethanabrooks/SAC-JAX
Jul 2020 - Aug 2020
A JAX Implementation of the Twin Delayed DDPG Algorithm
Contributions:320 pushes, 7 branches in 19 days
ddpgddpg-algorithmjaxtwindelayed
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