I am currently a postdoc researcher at Caltech, working with Prof. Adam Wierman and Prof. Anima Anandkumar. Earlier, I obtained my Ph.D. from Electrical and Computer Engineering department at the University of Washington, advised by Prof. Baosen Zhang.

I will be joining the ECE department at UCSD as an Assistant Professor starting July 2021. My research interests are in the area of energy systems and cyberphysical systems, spanning from machine learning, optimization to control. If you’re interested in any of the above and would like to chat, feel free to send me an email at yshi7@caltech.edu.


[2020/07] I have graduated from UW and started my postdoc at Caltech CMS department!

[2020/04] Two new preprints on “Input Convex Neural Networks for Optimal Voltage Regulation” and “Safe Reinforcement Learning” are on arXiv.

[2020/03] Our work “Robust Reinforcement Learning for Continuous Control with Model Misspecification” will appear in ICLR 2020! [PDF]

[2020/02] Invited talks at Caltech CMS, UCSD ECE, Penn State EECS and Purdue ECE.

[2019/12] Two works Data-driven Robust RL and Learning Neural Simulators are presented in NeurIPS 2019 Workshop on Safety and Robustness in Decision Making. [Poster1] [Poster2]

[2019/05] Our work “Optimal Control Via Neural Networks: A Convex Approach’’ is presented in ICLR 2019! Poster and source code could be found here. [PDF] [Poster] [Code]

[2019/04] I will join DeepMind, London as a research scientist intern this summer!

[2019/03] I am invited to attend the NSF iREDEFINE workshop in Tucson, Arizona, and present my research! The NSF iREDEFINE award is given to support diversity in ECE faculty.