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I am an assistant professor in the Machine Learning Department and the Department of Mathematical Sciences at CMU. I lead a small, focused team that develops principled methods for generative modeling and applies them to problems across artificial...

I am an Assistant Professor at Harvard's Kempner Institute and in Computer Science, where I lead the Embodied Minds Lab. I am also a part-time research scientist at NVIDIA Research. I received my PhD from MIT EECS, advised by Leslie Kaelbling, Tomas Lozano...

I am a research scientist at Meta SuperIntelligence Labs. Previously, I was a research scientist at Google DeepMind. I work on machine learning, with an emphasis on: Generative modeling: using probabilistic methods to capture the structure and uncertainty...

I am the Research Principal at Meta Superintelligence Labs (MSL), where I work with Chief Scientist Shengjia Zhao to help shape the lab’s research direction. During my Ph.D., I developed some of the core concepts and techniques behind score-based diffusion...

I am interested in a disparate set of topics in theoretical physics and its interdisciplinary applications. A central field of my research is statistical physics of classical and quantum systems, in particular disordered systems. As for inter-disciplinary...

I am a Research Scientist at the Center for Computational Mathematics, Flatiron Institute. Previously, I worked as an Instructor of Mathematics at the Department of Mathematics, Princeton University. I obtained my Ph.D. degree in applied mathematics from...

Grant Rotskoff studies the nonequilibrium dynamics of living matter with a particular focus on self-organization from the molecular to the cellular scale. His work involves developing theoretical and computational tools that can probe and predict the...