I am a first year Ph.D. in the Computer Science and Engineering Department at the University of California, Santa Cruz.
My research interests lie in the intersections of machine learning, statistics, combinatorial optimization, graph theory and algorithm design.
Specifically, I'm interested in the challenges of causal inference and fairness issues in social networks and other large-scale behavioral data.
I received a MS in Statistics at Stanford University in 2019, where I worked with Professor Johan Ugander on node classification problem using semi-supervised learning.
Before that, I received my BS in Energy and Resources Engineering and BA in Economics from Peking University in 2016.