Research Profile

Terry graduated from The Chinese University of Hong Kong in 2014 with First Class Honor in B.Sc. in Statistics. He obtained his M.Phil. in Risk Management Science from The Chinese University of Hong Kong in 2016. During his M.Phil. study, he decided to devote himself to clinical research by applying his statistical knowledge. In 2019, he obtained his Ph.D. in Medical Sciences from The Chinese University of Hong Kong. In 2022, he finished 8 courses on Data Science in the Harvard Extension School.

Terry Yip is an Associate Professor in the Department of Medicine and Therapeutics at The Chinese University of Hong Kong. Terry’s main research interest is big data approaches on patients with chronic liver diseases. His research includes different subpopulations of chronic hepatitis B including patients with resolved chronic hepatitis B, and patients who received different antiviral treatments. He also works on developing machine learning prediction models in patients with nonalcoholic fatty liver disease and diabetes mellitus. He has over 180 publications in peer-reviewed journals including Lancet Gastroenterology & Hepatology, Journal of Hepatology, Gastroenterology, Gut, and Hepatology.

He was awarded the Early Career Investigator Award in Clinical/Translational Science at AASLD meeting 2020, as well as the Young Investigator Award at APASL meeting 2018, 2022, and 2023, and in IDDF 2021 and 2022. He is now an Associate Editor of the Journal of Hepatology, Frontiers in Gastroenterology - Hepatology, and Frontiers in Medicine - Hepatobiliary diseases; and an Editorial Board member of Clinical Gastroenterology and Hepatology, Alimentary Pharmacology & Therapeutics, Hepatology Communications, and Hepatoma Research.