
About
Ryan P. Adams is a Professor of Computer Science at Princeton University and Associate Chair of the Computer Science Department. He co-directs the AI² Initiative and is affiliated with the Program in Applied and Computational Mathematics. His academic journey includes faculty positions at Harvard (2011-2016), Twitter, Google Brain, and currently Princeton since 2018. He founded the Laboratory for Intelligent Probabilistic Systems (LIPS).
Research Focus: Machine learning, artificial intelligence, and computational statistics with emphasis on probabilistic methods and approximate Bayesian inference. His work spans applications in science and engineering, including generative modeling, differentiable physics, and optimization for physical systems.
Scientific Contributions: His recent publications (2024-2025) explore topics like neural network wave function solvers for quantum problems, structure-aware machine learning for materials science, and differentiable methods for architectural/mechanical design. Notable collaborations include work on crystal diffusion, nonlinear optical computing, and vectorized MCMC sampling.
Students & Collaborations: Mentored numerous researchers who now hold positions at Microsoft Research, Google Brain, MIT, Harvard, Stanford, and academic institutions globally. Former affiliations include co-founding Whetlab (acquired by Twitter) and hosting the Talking Machines podcast.
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