Dan Biderman
Postdoctoral Scholar at Stanford University
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolDan Biderman is a postdoctoral scholar at Stanford bridging efficient AI and neuroscience, with seven years of research experience focused on building efficient models for text, video, and time-series data. He specializes in LLM post-training and designing architectural primitives for long-context reasoning, and he applies those tools to probe biological intelligence. Previously a PhD researcher at Columbia in a lab spanning theoretical neuroscience and statistics, he also contributed part-time to Databricks Mosaic Research’s post-training team. Based in Palo Alto, Dan combines rigorous academic training in neurobiology and cognitive science with hands-on machine learning engineering. He’s known for pursuing efficiency as a scientific lens—optimizing models not just for performance but for interpretability and biological plausibility.
7 years of coding experience
1 year of employment as a software developer
Master's degree, The Adi Lautman interdisciplinary Program for Outstanding Students (Cognitive Science), Master's degree, The Adi Lautman interdisciplinary Program for Outstanding Students (Cognitive Science) at Tel Aviv UniversityDoctor of Philosophy - PhD, Neurobiology and Behavior, Doctor of Philosophy - PhD, Neurobiology and Behavior at Columbia University
Github Skills (63)
nvidia-docker10
paddle10
pytorch10
artificial-intelligence10
image-processing10
pose10
audio-processing10
pytorch-lightning10
building-blocks10
gaussian-processes10
llm10
deep-learning10
pose-estimation10
gaussian10
image-augmentation10
Programming languages (3)
Github contributions (5)
danbider/danbider.github.io
Sep 2022 - Nov 2024
Contributions:136 pushes, 1 branch in 2 years 2 months
HazyResearch/minions
Feb 2025 - Mar 2025
Big & Small LLMs working together
Contributions:29 reviews, 6 PRs, 14 pushes in 1 month
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