I am an assistant professor at the University of Illinois Urbana-Champaign, Department of Statistics. At UIUC, I am also an affiliate assistant professor at the Department of Industrial & Enterprise Systems Engineering and an affiliate at the Carl R. Woese Institute for Genomic Biology. Before joining UIUC, I was a term assistant professor at Columbia University, Department of Statistics. I completed my Ph.D. in Operations Research & Financial Engineering at Princeton University in 2022 where I was the recipient of School of Engineering and Applied Science Award for Excellence in 2021. Before starting my Ph.D., I graduated from Boğaziçi University with Bachelor of Science in Industrial Engineering and minor in Economics. During Fall 2021, I was a visiting graduate student at the University of Chicago to participate in the Distributed Solutions to Complex Societal Problems program of Institute for Mathematical and Statistical Innovation (IMSI).

Broadly, I am interested in Mean Field Games & Control, Graphon Games applications, extensions, theory, and solutions. I am especially interested in Stackelberg Mean Field Games to understand how the incentives imposed by a regulator affect the behavior of large number of agents. Some of the applications I have worked on are: the effect of carbon taxes on carbon emission levels, how to mitigate an epidemic through regulations and the effect of advertisement in duopoly markets. Furthermore, I am working on proposing numerical approaches that make use of Machine Learning and Monte Carlo Simulations to solve these problems. You can find my SIAM News article on how to optimally choose a carbon tax level on this link.

You can find my CV here.