A Short (Academic) Bio
In the summer of 2014 I completed an MSc at McGill University, where I studied computer science (with an emphasis on machine learning) in the Reasoning and Learning Lab under the supervision of Joelle Pineau. During my MSc, my work focused on the development of efficient spectral algorithms for modelling dynamical systems and the development of reinforcement learning algorithms, which exploit these learned models. In other words, I worked on developing artificial learning agents that efficiently build predictive models of their environment and use these models to assist them as they learn via reward-based feedback (i.e., reinforcement).
In the fall of 2014, I began my PhD studies at Stanford, where I hope to apply my machine learning knowledge to difficult applications in natural language processing (NLP), such as the task of understanding context-dependent dialogue. Currently, I am working with Percy Liang in his NLP group.
During the summers of 2013 and 2014 I interned at Amazon as a software development engineer and research scientist. My work involved designing and implementing
machine learning (specifically, time-series prediction) algorithms.
View the PDF version of my CV.