I lead the Harvard Intelligent Probabilistic Systems (HIPS) group and was a co-founder of Whetlab, a machine learning startup acquired by Twitter in June 2015. (I am currently full-time at Twitter.) I also co-host (with Katherine Gorman) the podcast Talking Machines.

Selected Publications (full list)

• Dougal Maclaurin and Ryan P. Adams. Firefly Monte Carlo: Exact MCMC with Subsets of Data. Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence (UAI). 2014.
• Nils Napp and Ryan P. Adams. Message Passing Inference with Chemical Reaction Networks. Advances in Neural Information Processing Systems 26 (NIPS). 2013.
• Robert Nishihara, Iain Murray, and Ryan P. Adams. Parallel MCMC with Generalized Elliptical Slice Sampling. Journal of Machine Learning Research (JMLR). 15(Jun):2087-2112. 2014.
• Jasper Snoek, Hugo Larochelle, and Ryan P. Adams. Practical Bayesian Optimization of Machine Learning Algorithms. Advances in Neural Information Processing Systems (NIPS) 25. 2012.
• Ryan P. Adams, Zoubin Ghahramani, and Michael I. Jordan. Tree-Structured Stick Breaking for Hierarchical Data. Advances in Neural Information Processing Systems (NIPS) 23. 2010.
• Ryan P. Adams, Iain Murray, and David J.C. MacKay. Tractable Nonparametric Bayesian Inference in Poisson Processes with Gaussian Process Intensities. Proceedings of the 26th International Conference on Machine Learning (ICML). 2009.

Teaching

CS181: Machine Learning (Spring 2015)
CS181: Machine Learning (Spring 2014)
CSCI E-181: Machine Learning (Extension School) (Spring 2014)
CS281: Advanced Machine Learning (Fall 2013)
CS181: Intelligent Machines -- Perception, Learning, and Uncertainty (Spring 2013)
CS281: Advanced Machine Learning (Fall 2011)