I’m a fifth-year PhD student with the NYU Center for Data Science, advised by Brenden Lake and Todd Gureckis. My research interests center around cognitively-inspired machine learning: how can we draw inspiration from human cognition to advance the design of machine learning methods. My thesis research studies how people represent cognitive goals and tasks and proposes computational models generating similarly rich and human-like goals. I’m excited about how richer goal representations could facilitate exploration and generalization in artificial agents.
In my non-academic life, I enjoy playing ultimate frisbee, making homemade hot sauces, and making friends with all the dogs in Brooklyn.
PhD in Data Science, 2019--
New York University
BSc in Computational Sciences, 2015--2019