Scholar
Kexin Pei
Google Scholar ID: XzSkny0AAAAJ
Assistant Professor, Computer Science, University of Chicago
Citations & Impact
Citations
6,799
H-index
19
i10-index
22
Publications
20
Co-authors
53
list available
Publications
Resume (English only)
Academic Achievements
- Published numerous papers in the fields of Software Engineering, Machine Learning, and Security, with some receiving best paper awards or being selected for oral presentations.
Research Experience
- Neubauer Family Assistant Professor at the Department of Computer Science, The University of Chicago; Published papers in multiple international conferences, covering areas such as fuzzing, performance constraint synthesis, static analysis, etc.
Education
- PhD in Computer Science from Columbia University
Background
- Research interests include Security, Software Engineering, and Machine Learning, with a focus on automated code reasoning to improve the security and reliability of software systems. Aims to develop intelligent systems that can understand code semantics and precisely reason about program behaviors.
Miscellany
- Particularly interested in self-motivated students with backgrounds in Security or Software Engineering, especially those with experience in Program Analysis or Reverse Engineering, or a solid background in Machine Learning.
