I was previously a PhD student at MIT. I worked on MIT's Probabilistic Computing Project on tools and applications for Venture. I also worked on Bayesian cognitive science with Josh Tenenbaum. My dissertation was "Bayesian Computational Models for Inferring Preferences" (supervisor: Roger White).
Evans, O., Stuhlmueller A., Goodman N. Learning the Preferences of Bounded Agents.
Abstract for NIPS 2015 Workshop on Bounded Optimality.
Evans, O., Bergen, L., Tenenbaum, J.B. Learning Structured Preferences.
Proceedings of the Thirty-Second Annual Conference of the Cognitive Science Society.
Ullman, T.D., Baker, C.L., Macindoe, O., Evans, O., Goodman, N.D., & Tenenbaum, J.B. (2010). Help or hinder: Bayesian models of social goal inference.
Advances in Neural Information Processing Systems (Vol. 22, pp. 1874-1882).