Graduate Student – PhD


In my research, I use tools from dynamical systems, Bayesian statistics, and stochastic modeling to study behavioral decision making and other problems from mathematical neuroscience. As a member of Zack Kilpatrick's research group, I develop normative models for evidence accumulation and decision strategies in complex environments, with the goal of understanding subject cognition through their choices. I also work on adaptive Bayesian algorithms for inferring dynamics and structure of discrete-state Markov process using sparce sampling methods.