Tobias Sutter received his B.Sc. and M.Sc. degrees in Mechanical Engineering from ETH Zürich, Switzerland, in 2010 and 2012, respectively, and earned a Ph.D. in Electrical Engineering from the Automatic Control Laboratory at ETH Zürich in 2017. Since 2025, he has been an Associate Professor in the Department of Economics at the University of St.Gallen. From 2021 to 2025, he was an Assistant Professor in the Department of Computer Science at the University of Konstanz. He previously held research and teaching positions at EPFL with the Chair of Risk Analytics and Optimization, and at the Institute for Machine Learning at ETH Zürich. His research interests lie in data-driven robust optimization, reinforcement learning, and dynamic decision-making under uncertainty. Tobias Sutter received the George S. Axelby Outstanding Paper Award from the IEEE Control Systems Society in 2016 and the ETH Medal in 2018 for his outstanding Ph.D. thesis on approximate dynamic programming.
Positions
2025 - present: Associate Professor, Department of Economics, University of St.Gallen, Switzerland
2021 - 2025: (tenure track) Assistant Professor, Department of Computer Science, University of Konstanz, Germany
2019 - 2021: Postdoctoral Researcher and Lecturer (multiple appointments)
Risk Analytics and Optimization Chair, EPFL, Switzerland
Learning and Adaptive System Group, ETH Zurich, Switzerland
2018: Consultat at McKinsey and Company, Zurich, Switzerland
2012-2017: Ph.D., Automatic Control Laboratory, ETH Zurich, Switzerland
2010 - 2012: MSc in Robotics Systems and Control, ETH Zurich, Switzerland
2007 - 2010: BSc in Mechanical Engineering, ETH Zurich, Switzerland
Curriculum vitae [pdf]