Yoni Friedman
PHD Student at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
Cambridge, Massachusetts, United States
Summary
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Rockstar🎓
Top SchoolYoni Friedman is a PhD student at MIT CSAIL with eight years of experience building computational models of perception and translating insights from human and animal vision into machine systems. He has led multi-university benchmarking efforts and research infrastructure at MIT, managed large labs, and developed semi-supervised ML methods for neural data at Columbia. His work spans theory and engineering—shipping full-stack analytics and tooling during industry internships while architecting research-grade perceptual systems in academia. Based in Cambridge, he bridges cognitive science (BA, Rutgers) and practical ML, aiming to model how infants and adults form abstractions to drive smarter, more helpful machines. An underappreciated thread in his profile is the consistent focus on benchmarking and reproducibility, making his models both scientifically grounded and practically evaluable.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Arts - BA, Cognitive Science, 3.75/4.0, Bachelor of Arts - BA, Cognitive Science, 3.75/4.0 at Rutgers University
Stackoverflow
61reputation
1kreached
1answer
3questions
Github Skills (46)
neuroscience10
stochastic-processes10
biomedical10
computational-neuroscience9
machine-learning9
electrophysiology9
python8
bayesian8
robotics8
computer-vision6
retrieval-augmented-generation6
openxlsx6
shiny-apps6
llama-index6
probabilistic6
Programming languages (6)
Github contributions (5)
yifr/old-website
Jan 2018 - Jan 2021
Contributions:2 PRs, 12 pushes, 2 branches in 3 years
yifr/CommonFate
Nov 2020 - Oct 2022
Contributions:124 commits, 114 pushes in 2 years
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