I work at TellApart, where I develop predictive models to help e-commerce sites display ads to those customers that react most positively to them. TellApart is tackling challenging machine learning problems at web-scale and has lots of opportunities to contribute. Please reach out to me if you're interested in hearing more!
My research interests revolve around machine learning and data at scale, specifically modeling incentivized behavior. More general research interests include statistical machine learning, reinforcement learning, cognitive science, and cognitive modeling.
I'm a recent graduate of the Artificial Intelligence Laboratory at the University of Michigan. My doctoral dissertation investigated how reinforcement learning agents learn to use biologically-inspired memories while learning to act in the world.
