About Prof. Kei Hang katie ChaN
BEng (HKU), MPH (USC), PhD (UCLA)
Assistant Professor, Department of Biomedical Sciences, City University of Hong Kong
Assistant Professor, Department of Electrical Engineering, City University of Hong Kong
Research Interests
-Genetic and molecular epidemiology
-Systems Biology
-Computational biology
-Bioinformatics
-Diseases prediction and prevention
Prof. Kei Hang Katie Chan obtained her Bachelor of Information Engineering degree from the University of Hong Kong. She then received her Master of Public Health in Epidemiology and Biostatistics from the University of Southern California. With the Burroughs Wellcome Fund Inter-school Training Program in Metabolic Diseases Fellowship, she attained the Doctor of Philosophy in Epidemiology from the University of California, Los Angeles (UCLA) studying the genetic architecture of metabolic diseases, particularly type 2 diabetes (T2D) and cardiovascular diseases (CVD). After several years of postdoctoral training at UCLA and Brown University, she identified several shared molecular pathways and gene networks between T2D and CVD. Then, she returned to her home town, Hong Kong and joined the Hong Kong Institute of Diabetes and Obesity in the Chinese University Hong Kong (CUHK) as a Research Assistant Professor in 2016. She is also an Adjunct Assistant Professor at the Center for Global Cardiometabolic Health in the Department of Epidemiology in Brown University. In 2017, she was invited to be engaged as Assistant Professor (by courtesy) in the Department of Medicine and Therapeutics in CUHK. While at CUHK, she mainly investigated the genetic determinants of type 2 diabetes and its comorbidities. In 2018, she joined the Departments of Biomedical Sciences and Electronic Engineering in the City University of Hong Kong.
Research Members
My research interests include computational biology, bioinformatics, genetics, cancer, and drug repositioning.
I am Kin from the EE dept who focuses on applying machine learning techniques in Biomedical Sciences. My research interest covered disease prediction, prevention, and treatment strategy.
Hello, my name is Liu Jundong in EE at the City University of Hong Kong. My research interests include applying machine learning techniques for disease prediction and medical image processing.
I am a student from the BMS dept who focuses on applying molecular epidemiology techniques in Biomedical Sciences. My research interest covered disease prediction, prevention, and treatment strategy.
Mihir is passionate about using data to drive data driven outcomes and am well-versed in a variety of data analytics tools, including SQL, Python, and Tableau. He is dedicated to work on developing predictive models and machine learning algorithms.
I am currently employed at China Mobile Information Technology Co., Ltd as an AI researcher. My interests include LLM(large language models)—development, production, and application implementation of AI products.
Hello, I am focusing on the signalling pathways between diseases and metabolic traits. My research interests covers shared signalling architecture between different diseases and metabolic traits
Alumni
