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SHORT BIO
I am an undergraduate at Dartmouth College majoring in Computer Science and Philosophy with a concentration in artificial intelligence (for the former) and the philosophy of embodied cognition and science (for the latter). At Dartmouth and MIT, I focus my research on the intersection between cognitive science and deep learning, specifically on the application of Bayesian inference and reinforcement learning algorithms to multi-agent interactions. I'm drawn to the idea of teaching machines to learn like children and letting them grow, and enjoy working on projects looking to give artificial agents a sense of intuitive psychology.
Presentations

Neural Amortized Inference for Nested Multi-Agent Reasoning | VIDEO
Kunal Jha and 5 other authors