Niao He
Associate ProfessorETH Zürich
I am an Associate Professor of Computer Science at ETH Zurich, where I lead the Optimization & Decision Intelligence (ODI) Group.
My research is at the intersection of optimization and machine learning. Our goal is to develop the theoretical and algorithmic foundations for principled, scalable, and trustworthy decision intelligence—systems that can learn, optimize, reason, and make decisions reliably in complex and uncertain environments.
My current interests spans optimization for efficient AI, reinforcement learning, multi-agent systems, as well as emerging questions around generative models and LLMs. I am also interested in bringing these ideas to interdisciplinary applications in operations and finance, scientific discovery and education.
Affiliations
Academic positions
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Jan 2025 – present
Associate Professor
ETH Zurich
Computer Science
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Dec 2020 – Dec 2024
Assistant Professor
ETH Zurich
Computer Science
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Jan 2016 – Dec 2020
Assistant Professor
University of Illinois at Urbana-Champaign
Industrial and Systems Engineering
Coordinated Science Laboratory
Education
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2015
Ph.D. in Operations Research
Georgia Institute of Technology
School of Industrial & Systems Engineering
Advisor: Arkadi Nemirovski
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2015
M.S. in Computational Science & Engineering
Georgia Institute of Technology
College of Engineering
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2010
B.S. in Mathematics
University of Science and Technology of China
Special Class of Gifted Young
Honors, awards and grants
- 2025
-
- Best Paper Finalist, L4DC 2025
- 2023
-
- SNSF Starting Grant
- SNSF Sinergia Grant
- 2021
-
- ELLIS Scholar
- 2020
-
- CAS Beckman Fellow
- 2019
-
- NSF HDR TRIPODS Grant
- 2018
-
- NCSA Faculty Fellow
- List of Teachers Ranked as Excellent (UIUC)
- NSF CISE CRII Award
- 2017
-
- List of Teachers Ranked as Excellent (UIUC)
- SIAM Early Career Travel Award
- 2016
-
- List of Teachers Ranked as Outstanding (UIUC)
- AISTATS Best Paper Award
- Collins Scholar (UIUC)
Academic service
- Associate Editor
- SIAM Journal on Optimization; Mathematics of Operations Research; Journal of Optimization Theory and Applications
- Senior Area Chair
- ICML 2026; NeurIPS 2024
- Area Chair
- NeurIPS 2020; ICLR 2021; UAI 2021; ICML 2021; COLT 2022; ICML 2022; NeurIPS 2023
- Senior Program Committee
- AAAI 2019
- Program Committee
- ICML 2015–2019; NeurIPS 2016–2018; AAAI 2017; AISTATS 2016
Thanks to the Swiss National Science Foundation, ETH Foundations, and NCCR Automation for generously funding our current research.




