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Bahar Taskesen’s research interests center on decision-making under uncertainty, large-scale stochastic optimization, and statistical inference. She is particularly interested in exploring algorithmic fairness and robust applications in operations management, control, and machine learning. Her work has implications for the development and deployment of responsible AI systems. Taskesen earned her PhD from École polytechnique fédérale de Lausanne (EPFL) in Switzerland, where she was a student at the Risk Analytics Optimization Lab. She also holds a BS in Electrical and Electronics Engineering from the Middle East Technical University.
The doctoral program at Booth is organized into 'dissertation areas' which include Accounting, Behavioral Science, Econometrics and Statistics, Finance, Marketing, and Operations Management.