About

Chengcheng Wan is a Ph.D. student in the Department of Computer Science at the University of Chicago, advised by Professor Shan Lu. Her research focuses on creating robust methods to incorporate neural networks into software systems to satisfy accuracy, performance, and energy-efficiency requirements across a variety of platforms and applications. Her research has led to first author papers published at top conferences (USENIX ATC, ICML, ICSE). She has won the Microsoft Research Dissertation Grant and was invited to the EECS Rising Stars workshop. Wan has served as a mentor in UChicago undergrad summer research program and an instructor for middle-school girls in compileHer program. Personal website: http://people.cs.uchicago.edu/~cwan/

Education

University of Chicago

Ph.D. , Computer Science

Class of 2022

Awards & Publications