Machine learning PhD (UBC 2016) supervised by Nando de Freitas (now at DeepMind) and Alex Bouchard-Côté in the department of statistics.

My research thus far has focused on Bayesian optimization, statistical modelling, and decision making in uncertain environments, with applications to automatic parameter tuning and model selection. My collaborator Matt W. Hoffman and I have recently released a python package for Bayesian optimization freely available under the BSD3 license