I am currently a fellow at the University of Chicago Data Science for Social Good program based in Lisbon, Portugal. I recently received my PhD in Cognitive Psychology from New York University, where I worked in the Computation & Cognition Lab with Todd Gureckis. While there, I investigate how people learn and make decisions over time, with a particular focus on how people decide when to explore uncertain alternatives and the biases that can result from under-exploration. This research combined threads from the psychology literature on decision making and categorization with ideas from machine learning on forward-looking reinforcement learning and the fundamental limits to learning algorithms.
Besides my primary doctoral research, I've worked on a range of other fun projects, from combining psychological insights with gradient boosted decision trees to predict second language learning to using dynamic topic modeling to track the evolution of cognitive science (Check out my projects page for details). I was also one of the main developers of the psiTurk platform [github repository] for conducting replicable behavioral research online.