Perform molecular epidemiology and bioinformatics research to prevent, diagnose and treat complex diseases
Read MoreInvestigating the complex network of multifaceted diseases with major global burden by integrating variants in multiple omic levels, biomarkers and environmental data collected in diverse populations, which may deliver a novel preventive approach, diagnoses, and treatment.
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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
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 a 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 hometown, 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 at Brown University.
In 2017, she was invited to be engaged as an Assistant Professor (by courtesy) in the Department of Medicine and Therapeutics at 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 at the City University of Hong Kong.
Dr Chan's research interests include Genetic and Molecular Epidemiology, Systems Biology, Computational Biology and Bioinformatics. Her research focuses on studying the complex network of multifaceted diseases with major global burden by integrating variants in multiple omic levels, biomarkers and environmental data collected in diverse populations, which may deliver a novel preventive approach, diagnoses, and treatment. Below are her current research themes:
Postdoctoral Researcher
My research interests include computational biology, bioinformatics, genetics, cancer, and drug repositioning.
PhD Graduate
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.
Postdoctoral Researcher
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.
Year 4 PhD student
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.
Research Assistant
I am passionate about using data to drive data-driven outcomes and is well-versed in a variety of data analytics tools. Dedicated to work on developing predictive models and machine learning algorithms.
PhD Graduate
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.
Research Assistant
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.
Year 1 PhD student
Coming Soon
We welcome inquiries about our research, collaborations, and opportunities.
Website: www.cmebteam.com
Location: City University of Hong Kong