About Me

Research Goals: I’m investigating value-based decision making and learning in the brain and in machines. I am also passionate about responsible and ethical research practices, research methodology, and applying machine learning to impactful problems (e.g., medicine, dialogue systems, computational sustainability, systems research, and public policy).

Research Areas: The areas I most commonly dabble in (or am interested in working on) are: machine learning, reinforcement learning, robotics, dialogue systems, ethics and reproducibility in AI research, research methods, natural language processing, psychology, medicine, neuroscience, and public policy.

What did you do before? Previously, I was @ McGill University, Montréal Institute for Learning Algorithms, Amazon Alexa, Amazon AWS, A Thinking Ape, and Ericsson.

Latest News

• I’m joining as Dan Jurafsky’s student in the Stanford NLP Group!
• We’ve put up a new paper on learning value functions which span different time-scales. It includes a way to learn differences in value functions through a Bellman update!