I’m a computational neuroscientist at the Noel Lab in the Department of Neuroscience, University of Minnesota. Currently, I study human and machine planning processes in games. Before that, I got my PhD from Indiana University under the supervision of Joshua W. Brown, where I studied goal-directed reinforcement learning, biologically plausible learning algorithms, and other brain-inspired AI stuff.
I’m generally interested in undertanding how connectionist (nostalgic, huh) machines (PFC, RNN, LLM, and the like) solving problems, from various perspectives. I believe the specific instantiation is less important, what’s more interesting is the connection between the implementation level and the algorithmic level.