Advisor: Kexin Pei

I’m a second-year CS PhD student at the University of Chicago, advised by Prof. Kexin Pei.
Previously, I earned my master’s degree from Columbia University under the guidance of Prof. Junfeng Yang. Prior to that, I summer interned at the University of Illinois Urbana-Champaign, where I was advised by Prof. Lingming Zhang. I did my bachelors at Fudan University advised by Prof. Yanghua Xiao. I am grateful for the support and insights provided by all my advisors throughout my academic journey.

I’m broadly interested in machine learning, software engineering, and security, with a focus on developing theoretically grounded ML methods that learn code semantic representation to facilitate automated and precise software analysis and engineering to build more reliable and secure software.

Research

AI & Machine Learning

Foundations and applications of computer algorithms making data-centric models, predictions, and decisions

Programming Languages

Devising new and better ways of programming the computers of today and tomorrow

Security & Privacy

Understanding and defending against emerging threats in our increasingly computational world

Systems, Architecture & Networking

Design and analysis of computing systems: cloud, edge, Internet, quantum, and beyond
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