Bahar Taskesen
Assistant Professor at The University of Chicago Booth School of Business
Lausanne, Vaud, Switzerland
Summary
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Senior🎓
Top SchoolBahar Taskesen is an assistant professor and researcher focused on decision-making under uncertainty, large-scale stochastic optimization, and statistical inference, with a keen interest in algorithmic fairness and robustness for responsible AI. After earning an EE degree from METU and completing a PhD at EPFL, she transitioned from industry and applied-research roles into academia, joining Chicago Booth in 2024. Her work bridges theory and practice across operations management, control, and machine learning, aiming to make AI systems more reliable and equitable in deployment. With eight years of experience spanning hardware design, software engineering, and doctoral research, she brings a practical systems perspective to rigorous methodological contributions. An often overlooked strength is her cross-disciplinary training — from chipless RFID simulations to stochastic optimization — which enables creative approaches to complex socio-technical problems.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at EPFL (École polytechnique fédérale de Lausanne)Bachelor's degree, Electrical and Electronics Engineering, 3,67/4,00, Bachelor's degree, Electrical and Electronics Engineering, 3,67/4,00 at Orta Doğu Teknik Üniversitesi / Middle East Technical University
English, French, Turkish
Github Skills (8)
computer-vision8
object-detection8
yolov48
linux7
deep-learning7
neural-network6
windows6
deep-neural-networks5
Programming languages (1)
Github contributions (5)
RAO-EPFL/Semi-Discrete-Smooth-OT
Mar 2021 - Apr 2022
Contributions:2 commits, 1 branch in 1 year 2 months
BaharTaskesen/Unifying-DRO
Oct 2023 - Dec 2025
Contributions:13 pushes, 1 branch in 2 years 2 months
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