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. My research combines computational models of human behavior and multivariate analysis of neural dynamics to understand the interactions between reinforcement learning, planning, and selective attention. I also train and reverse-engineer neural networks as mechanistic models of the brain.

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.