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University of Michigan School of Information

Brinda Gokul

Brinda Gokul

PhD Student Email:


I'm a second year Ph.D. student advised by Kentaro Toyama in UMSI joint with Scientific Computing in the College of Engineering. My research interests are in computational simulations of stochastic and adaptive dynamical systems. More specifically, I ask how we can propose more effective economic policies to address issues of poverty and inequality.

Previously, I worked as a research analyst at the World Bank in the International Bank for Reconstruction and Development (IBRD). My work focused on international health systems financing and labor with cross-cutting specialization in poverty and inequality, fragility, conflict & violence, and gender.



Areas of interest

High performance computing and simulation methods to model economic dynamics and policy solutions.


BA University of Washington
MS University of Michigan Medical School