Linyi Li

Linyi Li is an Assistant Professor at the School of Computing Science, Simon Fraser University (SFU), and directs the Trustworthy Artificial Intelligence (TAI) Lab. He specializes in certifiably trustworthy deep learning systems and foundation models, bridging machine learning and computer security. His research focuses on providing rigorous guarantees for robustness, fairness, numerical reliability, and scientific evaluation of large language models.

• Affiliations: SFU (2023-present), University of Illinois Urbana-Champaign (PhD 2023), Tsinghua University (BSc 2018)
• Experience: Senior Research Scientist at ByteDance (2023-2024), internships at Microsoft, Fujitsu, and Carnegie Mellon University

Research interests include certified robustness, fairness certification, adversarial machine learning, and automated testing for neural networks. Notable contributions include the InfiBench code LLM evaluation framework and the α/β-CROWN verifier winning VNN-COMP 2023.

Awards: Rising Stars in Data Science (2022), AdvML Rising Star Award (2022), Qualcomm Innovation Fellowship finalist (2022).

Lab activities focus on advancing trustworthy AI through principled evaluation, certification frameworks, and alignment with human values. Open PhD positions available starting 2025 Fall.