Professor
Department of Computer Science
2086 Donald Bren Hall, University of California, Irvine, CA 92697-3435
chenli AT ics DOT uci DOT edu, Office: 949-824-9470
Chen Li is a professor in the Department of Computer Science at UC Irvine. He received his Ph.D. degree in Computer Science from Stanford University, and his M.S. and B.S. in Computer Science from Tsinghua University, China, respectively. He was a recipient of an NSF CAREER award and several test-of-time publication awards, a part-time visiting research scientist at Google, PC co-chair of VLDB 2015, an ACM distinguished member, and an IEEE fellow. Since January 2020, he’s the treasurer and a board member of the VLDB Endowment. From July 2020 to June 2024, he was the Faculty Director of the ICS Master of Computer Science Program. He was a co-founder and CTO of a startup to commercialize his research.
My research interests are in the field of data management, including data-intensive computing, databases, query processing and optimization, machine learning-based systems, data science, search, visualization. My current focus is building open-source systems for big data management and analytics. My PhD thesis at Stanford was on data integration, with an emphasis on both theoretical and practical aspects. My recent research, especially after spending a few quarters at Google and a few years doing a startup as its founder and CTO, has a strong preference on engineering and open source system building. I believe “Computer Science” is a “Science” to support great engineering, and we need to build systems to stay relevant in this fast-paced IT era. My recent research projects are closely related to social media data analytics due to its increasing importance in many disciplines. Learn More …
SIGMOD 2027 (General co-chair), VLDB Endowment 2020 – now (Treasurer and Board Member), SIGMOD 2025 (PC member), VLDB 2024 Reproducibility (PC member), VLDB 2023 (PC member), ICDE 2023 (General Chair), SIGMOD 2022 (PC member), VLDB 2021 (Associate Editor, Industrial co-Chair), ICDE 2021 (PC member), IEEE Big Data 2019 (Tutorial co-Chair), TKDE 2018-2022 (Associate Editor), VLDB 2015 (PC co-Chair).