I am an Assistant Professor in the Electrical and Computer Engineering Department at UCSD. I am also affiliated with the Center for Energy Research and the Center for Machine Intelligence, Computing & Security. My research interests broadly lie in machine learning, dynamical systems, and control, with applications to sustainable energy systems and other intelligent systems. 

I received my Ph.D. (2020) in Electrical and Computer Engineering and M.S. (2020) in Statistics from the University of Washington advised by Prof.Baosen Zhang on the topic of machine learning and control for energy systems. Prior to UCSD, I spent 1 year as a postdoc fellow at Caltech advised by Prof. Adam Wierman and Prof. Anima Anandkumar, and several research internships in Google DeepMind, JD Research, and Doosan Gridtech. 

Prospective Students

We are looking for highly motivated and self-driven Ph.D. students and postdoctoral candidates with a strong mathematical background and foundation in machine learning, control, and energy systems. We have 2 openings for Ph.D. students to start in FALL 2024 (Application Deadline: 2023/12/20). There are also positions for master/undergraduate research. If you are currently at UCSD, please fill out the Application Form first and send me an email with your resume and UCSD transcript once you filled out the application. For all other applicants: If you are interested in visiting opportunities, please fill out Visiting Scholar Form and send me an email.


More news 


Recent talks and Collaborators Talks

Demand Response Model Identification and Behavior Forecast with OptNet

Robust Online Voltage Control with Mistake Guarantee


Learning and Control for Energy Systems @UCSD MAE Department Seminar.



Office: Franklin Antonio Hall 

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