Graduating: Fall, 2022
Area of Research/Career Interest: Algorithmic Fairness
What is your Research about?
My research interests revolve around Algorithmic Fairness and Stochastic Models for Combinatorial Optimization. Specifically, I am interested in identifying meaningful notions of fairness, translating them into rigorous mathematical objects, and incorporating them in classical algorithmic problems. For instance, my work includes fairness in Clustering and Graph Cut problems. Furthermore, I study the interplay of fairness and stochasticity, with emphasis on how the latter can ensure socially fair algorithmic solutions.
What is the impact of your research? Why should a broader audience care?
In my opinion, with automated decisions becoming more and more ubiquitous in critical areas affecting the well-being of human lives, e.g., issuing home loans via estimating credit scores, predicting recidivism and computing risk factors for health insurance applicants, it is evident that the design of fair algorithms that minimize bias and discrimination is of vital importance.
What is your future research and career objective?
I want to continue my research on Algorithmic Fairness, with the ultimate goal being seeing my models help people in real life scenarios.