Author Information
Kei-hang K. Chan is a prominent researcher affiliated with multiple institutions, including the Department of Electrical Engineering and the Department of Biomedical Sciences at the City University of Hong Kong, as well as the Department of Epidemiology and Center for Global Cardiometabolic Health at the School of Public Health, and the Department of Medicine at The Warren Alpert School of Medicine, Brown University, Providence, RI, United States. This multidisciplinary affiliation reflects a broad spectrum of expertise spanning electrical engineering, biomedical sciences, and epidemiology.Research Contributions
Kei-hang K. Chan has made significant contributions to various fields, including epidemiology, genetics, and biomedical engineering. Notable research includes the identification of genetic signals for "diabesity" (a combination of type 2 diabetes and obesity) among diverse populations, and the use of machine learning to predict COVID-19 mortality. Other key areas of research include predictors of cognitive impairment in women, the impact of famine on health trajectories, identification of autism spectrum disorder using multi-modal learning, and the genomic architecture of glycemic traits. Chan's work often involves interdisciplinary approaches, integrating complex data to address significant health issues.Aliases
Kei-hang K. Chan is known by several aliases in academic publications, including Kei-hang K Chan, Kei Hang K Chan, Kei Chan, Kei Hang Katie Chan, Kei-hang Katie Chan, Kei Hang K. Chan, and Kei-hang K. Chan.Publication and Citation Metrics
| Metric |
Value |
| Citation Count |
473 |
| H-index |
12 |
| Paper Count |
54 |
