I am a 5th year Ph.D. Candidate at Operations Research & Financial Engineering department at Princeton University. 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 and Graphon Games applications. I am especially focused on how the incentives imposed by a regulator affect the behavior of large number of agents. Furthermore, I am working on proposing numerical approaches that make use of Machine Learning and Monte Carlo Simulations to solve these problems.
Some of the applications that 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. 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.