Associate Professor
BASc (Zhejiang University), MASc (Yale University), PhD (Yale University)
Office: KAIS 3110
Email: xiaoxiao.li@ece.ubc.ca
Dr. Xiaoxiao Li is currently an Associate Professor in the Department of Electrical and Computer Engineering, an Associate Member in the Department of Computer Science, an an Associate Member at Department of Pathology and Laboratory Medicine at the University of British Columbia. Dr. Li is also a faculty member at Vector Institute. Dr. Li is recognized as a Canada Research Chair (Tier II) in responsible AI and a Cifar AI Chair. Dr. Li’s research interests primarily lie at the intersection of AI and healthcare, theory and techniques for artificial general intelligence (AGI), and AI trustworthiness. Dr. Li aims to develop the next-generation responsible AI algorithms and systems. Dr. Li work is widely recognized, with publications in top-tier machine learning conferences (ICML, ICLR, NeurIPS, CVPR, ECCV) and leading biomedical conferences and journals (MICCAI, IPMI, Medical Image Analysis, IEEE Trans on Medical Imaging, Nature Methods). Dr. Li has received several best paper and research awards.
Dr. Li is always looking for self-motivated M.Sc., Ph.D., and postdoc candidates interested in advanced machine learning, multimodal foundation models and reasoning, AI trustworthiness and safety, AI efficiency, and applied AI. A strong background in mathematics and/or excellent coding skills is a plus. UBC students interested in research opportunities with Dr. Li are also encouraged to apply. For more information about applications, internships, and collaboration opportunities (e.g., visiting students or scholars), please visit Dr. Li’s webpage. Ensure you follow the indicated format, include the required documents, and state your interest in working with Dr. Li. For non-UBC students, you can officially collaborate with Dr. Li via Vector Internship program (https://vectorinstitute.ai/programs/internships/), Globalink Research Internship program (https://www.mitacs.ca/our-programs/globalink-research-internship-students/) and UBC VIRS program (https://global.ubc.ca/go-global/coming-ubc/visiting-international-research-students).
Dr. Li’s group maintains close collaborations with industry leaders such as Nvidia, Google, Meta, and Microsoft, as well as other esteemed research institutes. Trainees in Dr. Li’s group will benefit from a supportive and extensive collaboration network.
Research Interests
Artificial General Intelligence (AGI), Advanced Machine Learning, Large Multimodal Models Post-training and Reasoning, AI Trustworthiness and Safety, AI Efficiency, AI for Healthcare