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. 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 centers on interdisciplinary topics in online decision-making, machine learning, and optimization, with a specific focus on applications in power systems and sustainability. I am particularly passionate about developing trustworthy machine learning techniques that enhance the sustainability, robustness, scalability, privacy, and resilience of intelligent energy infrastructure. My work includes advancements in control with ML predictions and the integration of AI tools 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.