I am an Assistant Professor of Operations Management at the University of Chicago Booth School of Business.
In June 2024, I completed my PhD in the Risk Analytics and Optimization Lab at École polytechnique fédérale de Lausanne (EPFL) in Switzerland. My PhD thesis focused on reliable data-driven decision-making through optimal transport, and I was advised by Daniel Kuhn.
In 2018, I obtained my Bachelor of Science degree in Electrical and Electronics Engineering from the Middle East Technical University.
My research interests center around decision-making under uncertainty, large-scale stochastic optimization, and statistical inference. I am particularly interested in exploring algorithmic fairness and robustness and their applications in operations management, control, and machine learning. My work has implications for the development and deployment of responsible AI systems.
[September 2024] Our paper "Optimism in the Face of Ambiguity Principle for Multi-armed Bandits" is accepted at WINE 2024.
[June 2024] My PhD thesis dedicated to all women who fight to have a room of their own, is now available online!
[Sept. 2024] Our paper "Distributionally Robust Linear Quadratic Control" is accepted at NeurIPS 2023 as a spotlight!
Contact
bahar [dot] taskesen [at] chicagobooth [dot] edu
