Scholar
Shu Yang
Google Scholar ID: iDqaFGAAAAAJ
University of Pennsylvania
Citations & Impact
Citations
406
H-index
8
i10-index
7
Publications
20
Co-authors
45
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Involved in multiple research projects related to Alzheimer's disease and has published papers in this field.
Research Experience
- Currently a postdoctoral researcher in the Informatics Division at DBEI and a PennAITech Innovation Fellow. His work involves developing efficient model parameterization of deep neural networks to study brain imaging-genomics associations from multi-modality data (genotype, PET/MRI, etc.) for Alzheimer's research. He also leads projects using large language models, tabular foundation models, and knowledge graphs to study AD through mining literature and EHR text, as well as biomarkers/imaging tabular data. Additionally, he investigates RNA structure, regulation, and modifications using biological foundation models coupled with dynamic programming algorithms through neuro-symbolic frameworks.
Education
- PhD in Computer Science from the University of British Columbia (UBC) in 2021; supervised by Professors Raymond Ng and Anne Condon.
Background
- Research interests lie at the intersection of artificial intelligence and biomedical informatics, with a current focus on generative AI models for Alzheimer’s disease and RNA. Specialties include Artificial Intelligence/Machine Learning, Clinical Informatics, and Natural Language Processing (NLP).
Miscellany
- Collaborators include Dr. George Demiris, Dr. Dokyoon Kim, Dr. Marylyn D. Ritchie, and Dr. Li Shen.
