Amrut Nadgir

My research focuses on studying optimal learning and decision making with realistic bounds. I expect animals to approximate the behaviors of optimal agents and seek to better understand exactly what constraints real animals obey and why. My explorations are done in a dynamic, continual learning setting to better describe situations faced in the real world. Before coming to UPenn, I worked on improving the state of the art in Molecular Dynamics simulations at D.E. Shaw Research. I have also worked on liquid-liquid phase separation experiments, atomic molecular optics experiments and recurrent neural network models of the brain while getting an undergraduate degree in physics at UC Berkeley.