معرفی
Carl Yang is an Assistant Professor of Computer Science at Emory University, with a courtesy appointment in the Center for Data Science and the Department of Biostatistics and Bioinformatics at the Rollins School of Public Health. He holds a Ph.D. from the University of Illinois (UIUC) and a B.Eng. from Zhejiang University. His research focuses on graph data mining, machine learning, and healthcare applications, with notable contributions to federated learning and knowledge graphs.
Education:
- Ph.D. in Computer Science, University of Illinois, Urbana-Champaign (2020)
- B.Eng. in Computer Science and Engineering, Zhejiang University (2014)
Research Interests:
- Graph Neural Networks and Brain Network Analysis
- Federated Learning in Healthcare
- Knowledge Graph Integration with Large Language Models
- Applications in Neuroimaging and Electronic Health Records
Scientific Awards:
- NSF CAREER Award (2024)
- NIH K25 Career Award (2023)
- Amazon Research Award (2022)
- Best Paper Awards at ICDM 2020, KDD Health Day 2022, and ML4H 2022
Grants and Collaborations:
- NSF-funded projects on brain graph mining and federated learning
- NIH support for diabetes heterogeneity research
- Partnerships with Google Research and DeepMind (part-time visiting roles)
Labs and Teams:
- Leading research on federated learning and health informatics
- Collaborations with the Shah Lab at Stanford and Emory’s Center for Data Science
۰مقاله منتشرشده
