Patrick Riley is a principal engineer at Google and has been at Google since 2005. He
got his Ph.D. from Carnegie Mellon University studying artificial intelligence in
multi-agent systems. He currently works on Google Accelerated Science where he
collaborates with external scientists to apply Google's knowledge and experience in
running complex algorithms over large data sets to important scientific problems.
Previously, he led a number of efforts on the collection and analysis of user
behavior in web search.
Achievement of Sustained Net Plasma Heating in a
Fusion Experiment with the Optometrist Algorithm
E.A. Baltz, E. Trask, M. Binderbauer, M.
Dikovsky, H. Gota, R. Mendoza, J.C. Platt,
Scientific Reports, vol. 7 (2017), pp. 6425
Fast machine learning models of electronic and
energetic properties consistently reach approximation errors better than DFT
Felix Faber, Luke Hutchinson, Huang Bing, Justin Gilmer, Sam Schoenholz, George Dahl, Oriol
Vinyals, Steven Kearnes, Patrick Riley, Anatole von Lilienfeld
Neural Message Passing for Quantum Chemistry
Justin Gilmer, Samuel S. Schoenholz, Patrick F.
Riley, Oriol Vinyals, George E. Dahl
Molecular graph convolutions: moving beyond
Steven Kearnes, Kevin McCloskey, Marc Berndl, Vijay Pande, Patrick Riley
Journal of Computer-Aided Molecular Design (2016), pp. 1-14
Massively Multitask Networks for Drug Discovery
Bharath Ramsundar, Steven Kearnes,
Patrick Riley, Dale Webster, David Konerding, Vijay Pande
arXiv:1502.02072 [stat.ML] (2015)