Regular biography
Ryan Adams is a Professor in the Department of Computer Science at Princeton University. His research interests include machine learning, artificial intelligence, and computational statistics, with applications across science and engineering. He is particularly interested in probabilistic methods and approximate Bayesian inference. Adams is the Associate Chair of the Computer Science Department and co-director of the AI2 Initiative. He is also Associated Faculty in the Program in Applied and Computational Mathematics. He co-founded Whetlab, which was sold to Twitter in 2015, and formerly co-hosted the Talking Machines podcast. He joined Princeton University in 2018 after previously serving as faculty at Harvard and working at Twitter and Google Brain.
Scholar-generated biography
Ryan P. Adams is a researcher at Princeton University specializing in Machine Learning, Artificial Intelligence, and Statistics. His work focuses on developing efficient algorithms for Bayesian optimization, with applications in machine learning and chemical design. He has contributed to scalable Bayesian optimization techniques using deep neural networks and explored methods for probabilistic learning in neural networks. His research also includes Bayesian online changepoint detection, Gaussian process kernels for pattern discovery, and methods for automatic chemical design. Adams has published extensively on topics such as Bayesian reaction optimization, multi-task Bayesian optimization, and probabilistic backpropagation. His work emphasizes the integration of statistical modeling with machine learning to solve complex problems in both theoretical and applied domains.