Tongxin Li

Assistant Professor, Presidential Young Fellow at CUHK-Shenzhen


Dao Yuan Building, 323A

School of Data Science


I am currently a tenure-track assistant professor in the School of Data Science (SDS) at The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen).

Prior to joining SDS, I received a PhD in CMS at the California Institute of Technology advised by Dr. Steven H. Low, and co-advised by Dr. Adam Wierman. I graduated from CUHK in a dual-degree program and obtained a BEng in information engineering, a BSc in mathematics and an MPhil in information engineering. I interned twice as an applied scientist at AWS security in the summers of 2020 and 2021.

My research interests focus on interdisciplinary topics in online decision-making machine learning, and optimization, with applications to power systems and sustainability. In particular, I am interested in developing trustworthy machine learning techniques that improve the sustainability, robustness, scalability, privacy, and resilience of intelligent energy infrastructure. Some of my recent projects include learning-augmented control, data science and ML methods in smart grids.

RECRUITMENT ANNOUNCEMENT: I am looking for PhD students, research assistants (long-term only), and postdoctoral researchers with strong backgrounds in mathematics (math degrees are preferable) who are interested in contributing to the emerging domains of

  • Energy systems and sustainability

  • Online algorithms and learning-based decision-making

  • Trustworthy machine learning in cyber-physical systems

Feel free to send me an email with your CV attached. Other formats of local and remote collaboration are also welcomed.


Jul 20, 2023 2023 INFORMS Annual Meeting, Session Chair, Session Topic: Learning-Augmented Decision-Making In Cyber-Physical Systems
Jul 20, 2023 Panel discussion at PESGM 2023 (Recorded Talk: Link)
Nov 19, 2022 I received the SIGEnergy Doctoral Dissertation Award Honorable Mention.
Oct 28, 2022 Algorithms with Predictions Seminar Course Talk. Slides: Link
Oct 22, 2022 2022 INFORMS Annual Meeting. Slides: Link
Mar 1, 2022 Our new paper about Optimal Phase-Balanced EV Charging has been accepted at PSCC 2022.
Oct 24, 2021 Talk in 2021 INFORMS Annual Meeting titled Learning-Based Predictive Control via Real-Time Aggregate Flexibility
Jul 16, 2021 Join AWS Security as a research scientist intern for three months
Jul 13, 2021 Check out two new papers on Robustness and Consistency for Linear Quadratic Control and Learning-Based Predictive Control
Jun 16, 2021 Presentation of the paper about Information Aggregation in Constrained Nonlinear Control in ACM SIGMETRICS 2021. Slides are available