Completed my Research Assistant work at SIAT. I am grateful to the mentors, collaborators, and labmates I worked with there.
About Me
Jiacong Mi 宓家聪
I am a Ph.D. student and KnowLab member at the University of Glasgow, supported by a College scholarship and supervised by Prof. Honghan Wu and Dr. Clarisse F. de Vries. Before joining Glasgow, I worked as a Research Assistant at SIAT, in collaboration with Prof. Hao Wu. I also worked with Prof. Jun Shen at the University of Wollongong. In 2024, I received an M.Sc. in Artificial Intelligence from Southeast University under the supervision of Prof. Jieyue He.
My current research explores multimodal AI for enhancing healthcare research, focusing on longitudinal information and the fusion of diverse data modalities in large-scale electronic health records. You can reach me at jiacongmi@gmail.com.
Research
Current interests
Biomedical AI
Foundation Models for Science
Graph Neural Networks
Self-supervised Learning
Multimodal Learning
Interpretable AI
EHR Mining
AI-driven Drug Discovery
Clinical Decision Support
Chronic Disease Management
Recent News
Updates
Started my Ph.D. life in Glasgow, Scotland.
Publications
Selected work
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Experience
Academic path
Ph.D. in Public Health (AI for Science)
University of Glasgow. Supervisor: Honghan Wu.
Research Assistant
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. Collaborating supervisor: Prof. Hao Wu.
Double Master's Degree in Information Technology Systems
Monash University.
Master's Degree in Artificial Intelligence
Southeast University. Supervisor: Prof. Jieyue He.
Bachelor of Computer Science and Technology
Shandong Normal University.
Projects
Selected projects
TCM Knowledge Graph Tool
A Traditional Chinese Medicine knowledge graph system with data management operations backed by Neo4j and Flask.
AI Drug Discovery Models
Molecular generation and toxicity prediction work from internships at neoX Biotech and Insilico Medicine.