Tongxin Li

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.