My name is Michael Chong Wang (王翀). I am a PhD candidate in Psychological and Brain Sciences at Dartmouth College, supervised by Professor Alireza Soltani. I study the neural and computational mechanisms underlying the interactions between selective attention and reinforcement learning in complex environments.

Before coming to Dartmouth, I was an undergraduate student at Washington University in St. Louis, where I worked with Professor Jeff Zacks, Professor ShiNung Ching, and Professor Todd Braver on a variety of research topics, including modeling context-dependent learning with recurrent neural networks with plastic synapses, and modeling MEG data with nonlinear Kalman filter. I was also a summer intern at Stanford CSLI, where I worked with Professor Noah Goodman on language-guided object-centric visual representation learning.