Biography

Bahar Taskesen’s research interests center around decision-making under uncertainty, large-scale stochastic optimization, and statistical inference. She is particularly interested in exploring algorithmic fairness and robustness and their applications in operations management, control, and machine learning. Her work has implications for the development and deployment of responsible AI systems.

Taskesen earned a PhD from the École polytechnique fédérale de Lausanne (EPFL) in Switzerland, where she was a student in the Risk Analytics and Optimization Lab.  She also holds a BS in electrical and electronics engineering from the Middle East Technical University.

Academic Areas

  • Operations Management