Prof Kei Hang Katie Chan's research group

Perform molecular epidemiology and bioinformatics research to prevent, diagnose and treat complex diseases

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OUR INTEREST

Investigating 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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Years of experience

About Prof. KEI HANG Katie Chan

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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.

Research Interest and Area

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:


1. Diseases determinants identification

2. Predictive Modelling

3. Drug Repositioning

4. Analytical / Bioinformatics Tools Development

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Research Members

My research interests include computational biology, bioinformatics, genetics, cancer, and drug repositioning.

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adam N. Bennett Postdoctoral Researcher

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.

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Wan tsz kin PhD Graduate

Coming Soon

Chuyun Zhang Year 1 PhD student

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.

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jundong liu Postdoctoral Researcher

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.

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qian he Year 4 PhD student

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.

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Mihir Vij Research Assistant

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.

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Clement Rui XUan Huang PhD Graduate

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

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lang ting jonathan chan Research Assistant

WHAT MAKES US SPECIAL

Expertise and Academic Excellence

Our diverse team of lifelong learners, from undergraduates to postdoctoral researchers, brings expertise and academic rigor to ensure excellent research standards.

Interdisciplinary Approach

Combine expertise in epidemiology, data engineering, and bioinformatics. 

This unique integration enables us to approach complex research questions from multiple angles, promoting innovation and fostering a comprehensive understanding.

Recognition and Achievements

Our innovative work has been recognized with the prestigious HKTech 300 Seed fund award. We have also filed 2 patents for our groundbreaking technologies, demonstrating our commitment to advancing the field through our unique inventions.

Cutting-edge AI Techniques

Proficient in the latest AI techniques and pioneering their application in research. 

Driving innovation with cutting-edge technology to stay at the forefront of advancements in our field.