I am a PhD student at Columbia University in the City of New York, Department of Earth and Environmental Engineering, supervised by Prof. Bolun Xu.

My research focuses on behavior modeling and analysis in energy systems through optimization, economics, and machine learning, addressing the challenges related to increasing uncertainty, strategy interdependence, and market inclusiveness. Specifically, I explore temporally dependent decision-making under uncertainties, analyze strategic behavior for energy management through game theory, and develop sustainable energy solutions in terms of utility tariff design, electrification path, and aggregator business model.

You can find my CV here

Latest News

May. 2025: I’m so excited to start the summer internship at ISO-NE; I will work on the efficiency evaluation and improvement of coordinated transaction scheduling between regional markets.

Oct. 2024: Our work about peak shaving has been accepted to be presented at the 2025 Grid Science Winter School and Conference at Los Alamos National Lab (LANL), and I am so excited to receive the travel funding from LANL.

Sep. 2024: Our paper about decision-making analysis under uncertainty (A Prudent Framework for Understanding Risk-Awareness in Demand Response) is accepted to be presented at the 7th Workshop on Autonomous Energy Systems at NREL, and I am so excited to receive the travel support from NREL.

Feb. 2024: I am going to present our work about Demand Side Flexibility Envelop Quantification in the poster section at The 2024 Conference on Innovative Smart Grid Technologies, North America (ISGT NA 2024)

Sep. 2023: Our paper about Saturation Effects in Equitable Demand Response Tariff Design is accepted to be presented at the 6th Workshop on Autonomous Energy Systems at NREL.

May. 2023: I’m so excited to start the summer internship at NREL; I will work on the optimal offering curve design of the virtual power plant and demand-side flexibility quantification.