Tongxin Li

Assistant Professor, Presidential Young Fellow at CUHK-Shenzhen


Teaching Complex Bldg, 608

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. 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.

Opening: I am looking for PhD students and Postdocs who are interested in contributing to the emerging domains of

  • Power systems and sustainability

  • Reinforcement learning and online models

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 23, 2021 Talk in 2021 INFORMS Annual Meeting titled Learning-Based Predictive Control via Real-Time Aggregate Flexibility
Jul 15, 2021 Join AWS Security as a research scientist intern for three months
Jul 12, 2021 Check out two new papers on Robustness and Consistency for Linear Quadratic Control and Learning-Based Predictive Control
Jun 15, 2021 Presentation of the paper about Information Aggregation in Constrained Nonlinear Control in ACM SIGMETRICS 2021. Slides are available
Jul 1, 2020 Presentation of the paper about Electric Vehicle Charging Time Series Classification in XXI Power Systems Computation Conference PSCC2020
Jun 25, 2020 Presentation of the paper about Real-Time Aggregate Flexibility in ACM e-Energy 2020. Slides are available
Jun 15, 2020 Join AWS Security as a research scientist intern for three months
Jul 4, 2019 Invited Talk in The 20th INFORMS Applied Probability Society Conference (INFORMS-APS 2019), Brisbane Australia