Dan Biderman

Dan is a PhD candidate at Columbia University and Dan is a research science intern at Mosaic ML investigating LLM robustness and efficiency. Dan’s research focuses on understanding biological movement from video using ideas from representation learning, 3D vision, and physical simulation. A Lightning AI Ambassador and active PyTorch Lightning open-source community member, Dan is developing scalable Gaussian Processes, which can be applied to massive, previously inaccessible datasets.
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Posts by Dan Biderman

A black and white GIF out a mouse walking on a wheel.
Computer Vision / Video Analytics

Research Unveils Breakthrough Deep Learning Tool for Understanding Neural Activity and Movement Control

A primary goal in the field of neuroscience is understanding how the brain controls movement. By improving pose estimation, neurobiologists can more precisely... 8 MIN READ