Niao He

ETH Zürich

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Niao He

I am currently an Assistant Professor in the Department of Computer Science at ETH Zürich. I am also a core faculty member at:

  • Institute of Machine Learning
  • ETH AI Center
  • ETH Foundations of Data Science
  • Max Planck ETH Center for Learning Systems
  • Illinois Institute of Data Science and Dynamical Systems

    • My work lies in the interface of optimization and machine learning, with a primary focus on the algorithmic and theoretical foundations for solving data-driven decision-making problems. My principal research interests include large-scale optimization, optimization under uncertainty, reinforcement learning, and probabilistic inference. I am also interested in developing machine learning models and algorithms for interdisciplinary applications in operations management, robotics, healthcare analytics, etc.

    Thanks to NSF CCF, NSF CRII, NSF CMMI, NSF TRIPODS, UIUC Center of Advanced Studies, UIUC Strategic Research Initiative, National Center for Supercomputing Applications (NCSA), China Railway Rolling Stock Corporation (CRRC) for generously funding and sponsoring our research!
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    The FORML Group

    Welcome to the Foundations of Operations Research & Machine Learning (FORML) Group!

    Follow us by checking out What's New? or visting our FORML Group Page

    Online Seminars

    We are running two exciting data science seminar series this fall with a fantastic slate of speakers. Check out detailed schedule below.


    Online Seminar on Mathematical Foundations of Data Science, Fridays at 12pm CST.

    iDS2 Seminar on Data Science and Dynamical Systems, Fridays at 2pm CST.

    Recent News and Highlights

    • 2020-12

      Our group got six papers accepted to NeurIPS 2020! Check papers here.

    • 2020-08

      We are exciting to be a part of the USDA-NIFA AI Institute on Next Generation Food Systems (AIFS, a joint effort lead by UC Davis, UC Berkeley, Cornell, and UIUC). Check news here.

    • 2020-07

      Yingxiang graduated and started his next position as a research scientist at ByteDance in Seattle.

    • 2020-06

      Niao gave a talk at the Virtual Seminar on Theory of RL on Understanding the Convergence of Reinforcement Learning Algorithms from Dynamical Systems Perspectives . Check the slide and video here.

    • 2020-03

      Donghwan Lee started a faculty position at KAIST.

    • 2020-01

      Niao is elected as the 2020-21 Beckman CAS Fellow by the Center for Avanced Studies at UIUC.