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.