I am an Assistant Professor in the Electrical and Computer Engineering Department at UCSD. I am also affiliated with the Center for Machine Intelligence, Computing & Security and the Center for Energy Research. My research interests broadly lie in machine learning, dynamical systems and control, and sustainability. My lab focuses on various aspects of creating intelligent systems, with an emphasis on principled learning and control algorithms for sustainable energy and power systems. 

Before joining UCSD, I was a postdoc fellow in the Computing and Mathematical Sciences Department at Caltech from 2020-2021, working with Adam Wierman and Anima Anandkumar. I obtained my Ph.D. from the Electrical and Computer Engineering Department at the University of Washington, advised by Baosen Zhang.


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 Control Systems & Dynamics Seminar.


Prospective Students and Postdocs

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. 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.

Both theoretical and empirical research is carried out in the group and students who can build bridges between the two, and also between different disciplines will be a good fit here. 



Office: Franklin Antonio Hall 2406

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