Richard Lange
Research Scientist at Rochester Institute of Technology
City of Rochester, New York, United States
Summary
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Rockstar🎓
Top SchoolRichard Lange is an Assistant Professor of Computer Science at RIT with 14 years of experience exploring the mathematical bridges between brains and AI/ML systems. His research focuses on statistical inference and probability as a shared language for neural representation and computational models, blending neuroscience and computer science perspectives. Trained at Dartmouth and the University of Rochester in CS and brain & cognitive science, he brings interdisciplinary rigor to both theory and experiment. Based in Rochester, NY, he runs the bonsai-neuro-ai lab, where empirical and theoretical work converge to probe representation and inference. Colleagues know him for pursuing principled, probability-focused frameworks rather than application-driven heuristics, aiming to reveal core algorithms underlying intelligence.
14 years of coding experience
BA, Computer Science and Engineering, BA, Computer Science and Engineering at Dartmouth CollegeMaster of Arts - MA, Brain and Cognitive Science, Master of Arts - MA, Brain and Cognitive Science at University of Rochester
Japanese
Stackoverflow
570reputation
19kreached
17answers
10questions
Github Skills (83)
python10
deep-learning10
jax10
data-science10
bayesian10
go10
tensorflow10
replication10
pytorch10
machine-learning10
tree-search10
deep-neural-networks10
jekyll10
robotics9
stan9
Programming languages (8)
Github contributions (5)
Rochester-NRT/RocAlphaGo
Feb 2016 - May 2020
An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.
Contributions:113 PRs, 184 pushes, 23 branches in 4 years 3 months
deep-neural-networksgoreplicationtree-search
wrongu/Quoridor
Jun 2012 - Aug 2014
Contributions:16 commits in 2 years 2 months
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