About Me

I am an incoming PhD Machine Learning student at Georgia Tech, advised by Kai Wang in the School of CSE. My research will focus on theory and applications of machine learning and optimization in general, specifically bilevel optimization. 

I have recently graduated with a B.S. of Computer Science and a minor in Mathematics (GPA 4.0/4.0, Summa Cum Laude) from the University of Utah in May 2024, where my research was under the supervision of Prof. Alan Kuntz, Prof. Shandian Zhe, Prof. Daniel S. Brown, Prof. Tucker Hermans. My research before PhD mainly focuses on Bayesian mahcine leanring, generative models for autonomous vehicles, surgical robotics.