Satchel Grant
Ph.D. Candidate
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolSatchel Grant is a Ph.D. candidate at Stanford with nine years of experience blending computational neuroscience, cognitive science, and AI to build interpretable, multi-modal self-supervised models for brain–machine interfacing and AI safety. His work spans deep learning research and hands-on systems: from developing novel convolutional layers that improved retinal modeling accuracy to engineering a custom 2D rodent virtual reality platform and PyTorch infrastructure. A recent research internship at the Flatiron Institute produced a method for directly optimizing manifold capacity, reflecting his interest in geometric approaches to neural representation. Comfortable in both research and implementation, he codes in Python/PyTorch and Unity/C#, and brings a rare mix of experimental hardware skills and theoretical modeling to translational neuroscience problems.
9 years of coding experience
5 years of employment as a software developer
Pre-Engineering, Pre-Engineering at Oregon State UniversityBachelor of Arts (B.A.), Chemistry, Bachelor of Arts (B.A.), Chemistry at Whitman CollegeNA, Machine Learning and Reinforcement Learning, NA, NA, Machine Learning and Reinforcement Learning, NA at Independent Study
English
Github Skills (18)
python10
openai-gym10
machine-learning10
deep-learning10
gpu10
numpy9
acceleration9
autograd9
tensorflow9
neural-network9
tensor9
gpu-acceleration9
deep-reinforcement-learning9
reinforcement-learning8
openai7
Programming languages (3)
Github contributions (5)
grantsrb/cogmtc
Apr 2022 - Dec 2023
Contributions:138 pushes, 3 branches in 1 year 8 months
grantsrb/Gym-Snake
Jan 2018 - Jan 2021
An OpenAI gym environment made for RL
Contributions:2 reviews, 77 commits, 3 PRs in 2 years 11 months
reinforcement-learninggym-environmentdeep-reinforcement-learningopenaigym
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