Felix Binder
AI Safety Research Scientist at Meta
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolFelix Binder is an AI safety research scientist and cognitive scientist with nine years of research experience focused on how brains and AIs plan and decide. Currently working on Meta’s Superintelligence effort after PhD work at UC San Diego, he blends computational cognitive science, agent-based simulations, and behavioral experiments to probe the algorithms behind planning and physical reasoning. His research explores how environmental and visual structure guide planning and where human and machine physical models diverge, and he has investigated introspection in LLMs as an Astra Fellow. Felix pairs this rigorous research profile with hands-on ML experience—building multimodal datasets and training vision-transformer models—and an unexpected creative side as a VJ and visual artist.
9 years of coding experience
6 years of employment as a software developer
University of California, San DiegoArtificial General Intelligence Safety FundamentalsBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Freie Universität Berlin
Github Skills (87)
colorize10
benchmark10
reader10
autocomplete10
datasets10
visual-studio10
prediction10
cpp10
editor10
latex10
boost10
electron10
typescript10
vscode-extension10
vscode10
Programming languages (10)
Github contributions (5)
cogtoolslab/physics-benchmarking-neurips2021
Feb 2021 - Sep 2022
Repo for "Physion: Evaluating Physical Prediction from Vision in Humans and Machines", presented at NeurIPS 2021 (Datasets & Benchmarks track)
Contributions:289 commits, 22 pushes, 14 comments in 1 year 7 months
pytorchpredictionneurips-2021machinesdeep-learning
cogtoolslab/cognitive-ai-benchmarking
Apr 2022 - Jan 2023
cognitive-ai-benchmarking
Contributions:1 review, 92 commits, 3 PRs in 8 months
benchmarkbenchmarkingmachine-learningcognitive
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