Francis Yan
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Education
- Ph.D. in Computer Science, Stanford University, 2020
- B.S. in Computer Science (Yao Class), Tsinghua University, 2015
- B.A. in Economics, Tsinghua University, 2015
Biography
Francis Y. Yan is an assistant professor of computer science at the University of Illinois Urbana-Champaign (UIUC), with an affiliate appointment in Electrical & Computer Engineering. His research focuses on building and optimizing networked systems with practical machine learning (ML), ranging from developing large-scale systems and research platforms that lay the foundation for applying ML, to devising practical ML algorithms with mechanisms that improve their real-world deployability in systems and networks. Before joining UIUC, Francis was as a Senior Researcher at Microsoft Research Redmond.
Academic Positions
- Assistant Professor of Computer Science, University of Illinois Urbana-Champaign, Jan 2025 -- Present
- Affiliate Professor of Electrical & Computer Engineering, University of Illinois Urbana-Champaign, Jan 2025 -- Present
- Adjunct Professor of Computer Science, Aug 2024 -- Jan 2025
- Senior Researcher, Microsoft Research Redmond, Aug 2020 -- Jan 2025
Research Interests
- Networked Systems
- Computer Networks
- Machine Learning for Systems and Networking
Research Areas
Other Outside Service
- Program Committee Member, USENIX NSDI 2023, 2024, 2025, 2026
- Program Committee Member, ACM SIGCOMM 2024
- Artifact Evaluation Chair, ACM SIGCOMM 2024
- Program Committee Chair, ACM/IRTF Applied Networking Research Workshop 2023
- Award Committee Member, IRTF Applied Networking Research Prize (2022--2025)
Research Honors
- USENIX NSDI Outstanding Paper Award (2024)
- APNet Best Paper Award (2022)
- Applied Networking Research Prize (2021)
- USENIX NSDI Community Award (2020)
- USENIX ATC Best Paper Award (2018)
Recent Courses Taught
- CS 538 - Advanced Computer Networks