Dan Biderman
Postdoctoral Scholar at Stanford University
Palo Alto, California, United States
Summary
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Rockstar🎓
Top SchoolDan Biderman is a postdoctoral scholar and researcher with 7 years of experience building efficient AI systems for text, video, and time-series data and using them to probe biological intelligence. At Stanford Statistics/CS (and formerly at Databricks Mosaic Research), he focuses on efficient LLM post-training and novel architectural building blocks for long‑context reasoning. He combines a PhD in Neurobiology and Behavior from Columbia with a master's in cognitive science from Tel Aviv University, bringing an interdisciplinary lens that ties neural principles to scalable ML design. Known for pragmatic efficiency, he develops methods that reduce compute and memory costs while enabling richer, longer-range model reasoning.
7 years of coding experience
1 year of employment as a software developer
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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