Ming-Lung Yu is a Chair Professor of Kaohsiung Medical University (KMU), Taiwan. He is also an adjunct chair professor of National Sun Yat-sen University(NSYSU). Professor Yu's research interests in the Hepatology, including epidemiology, natural course, risk stratification, treatment and prognosis of HBV and HCV, as well as MASLD, have led him to publish more than 500 scientific original and review articles.

Dr. Tung-Hung Su earned his M.D. degree from the National Taiwan University College of Medicine in 2001 and his Ph.D. from the Graduate Institute of Clinical Medicine at the same university in 2015. He has been an attending physician specializing in Hepatology and a Clinical Professor in the Department of Internal Medicine at National Taiwan University Hospital since 2024. From 2017 to 2019, he was a visiting scholar at Stanford University. Dr.

Dr. Anjana Pillai is a Professor of Medicine and Surgery at the University of Chicago. She is the Director of University of Chicago's multidisciplinary liver tumor program, interim Medical Director of the Transplant Institute and the Program Director for the ACGME accredited Transplant Hepatology Fellowship. ​

Dr. Mei-Hsuan Lee, currently a Distinguished Professor at the Institute of Clinical Medicine and Deputy Dean of Research and Development at National Yang Ming Chiao Tung University since 2021, earned her Ph.D. from the Graduate Institute of Epidemiology at the College of Public Health, National Taiwan University, in 2010. Embarking on a distinguished postgraduate journey, Dr. Lee began as a Postdoctoral Fellow at the Genomics Research Center, Academia Sinica, Taipei, Taiwan, from 2010 to 2012.

Dr. Hoshida is Professor of Internal Medicine at University of Texas Southwestern Medical Center. He is a hepatologist with expertise in translational research on liver cirrhosis and cancer with a specific focus on risk prediction, disease classification, and chemoprevention/therapeutic discovery.

Chun-Jen LIU is a Professor at the Department of Internal Medicine, National Taiwan University College of Medicine, and Director of the Hepatitis Research Center, National Taiwan University Hospital, both in Taipei. He achieved his MD and PhD at the National Taiwan University. Professor LIU's research interests include chronic hepatitis B and C, MASLD and HCC, where his studies focus on dual liver diseases such as HBV/HCV and MASLD/HBV. He had been awarded JGH Foundation Emerging Leader Lecture in APDW 2013.

Emily Schonfeld is a transplant hepatologist and an Assistant Professor of Medicine in the Division of GI and Hepatology at Weill Cornell Medicine.

Neeral Shah is a tenured professor of medicine at the University of Virginia. He is an academic transplant hepatologist and the gastroenterology fellowship program director. Dr. Shah also serves as the co-chair of the pre-clerkship curriculum. He is editor in chief of Access Medicine and The Infographic Guide to Medicine, which is used in 70 countries and 98% of medical schools in the U.S. He is the previous Chair of the Communication and Technology Committee at the AASLD, and the current Governor of Virginia for the ACG.

Dr. Mamatha Bhat is a Hepatologist and leads the Transplant AI initiative at the University Health Network's Ajmera Transplant Centre, and Associate Professor of Medicine at the University of Toronto. Dr. Bhat completed her medical school and residency training at McGill University. She then completed a Transplant Hepatology fellowship at the Mayo Clinic in Rochester, Minnesota, followed by a Canadian Institutes of Health Research (CIHR) Fellowship for Health Professionals, through which she completed a PhD.<br>The goal of Dr.

Dr. Jin Ge is a transplant hepatologist and Assistant Professor of Medicine at UCSF. He serves as the Director of Clinical AI at UCSF Gastroenterology. His research focuses on using clinical informatics, data science and artificial intelligence to improve care for patients with advanced liver diseases. In particular, he has been extensively involved in the deployment and development of hepatology related use-cases of generative artificial intelligence and large language models. Dr.