Judah Goldfeder

PhD Candidate at the Creative Machines Lab at Columbia University, and a member of the NSF AI Institute in Dynamic Systems. He is focused on several projects in the Deep Learning space, including developing a Common Task Framework for Scientific Machine Learning, creating an open source building and HVAC simulator, applying Reinforcement Learning to the HVAC systems of large commercial buildings, reconstructing neural network weights from only query access, Auxiliary Learning and Self Supervised Learning for Computer Vision, Machine Crystallography, Machine Learning for Biometrics, and Robotics.

Previously, he was a Student Researcher at Google, working on Smart Buildings. Before that, he worked at Facebook AI Research, on applying Transformers to Graph Neural Networks at scale, and at Twitter, where he worked on improving production ads models. He also has helped develop AI educational resources at Learn Ventures, an innovative education startup, and has interned at Bar Ilan University, where he worked on using formal verification to predict gene interaction in cells. He also is a consultant for Dicta, an NLP research nonprofit focusing on Hebrew and related low-resource languages. Judah has organized several workshops on AI for physical systems, including at ICML, NeurIPS, ACM E-energy, and BuildSys. Starting in September, Judah will be a postdoctoral researcher at NYU, where he will be working with Yann LeCun on world models.