Dr Jen Li is a transplant nephrologist at Westmead Hospital with clinical interests in kidney and pancreas transplantation, amyloidosis, and onco-nephrology. She is a co-lead in the Transplant Genomics Group at the Westmead Institute for Medical Research, and her work focuses on how precision medicine can reduce the complications of long-term immunosuppression. Jen is a current co-chair of the TTS Education committee and previous chair of the TTS Early Career Members Committee.

TBA

Transplant Hepatologist, Ajmera Transplant Centre, University Health Network;
Associate Professor, University of Toronto
Toronto, Canada

Dr. Mamatha Bhat is a Hepatologist and Co-Lead of the Transplant AI initiative at the University Health Network's Ajmera Transplant Centre and Associate Professor of Medicine at the University of Toronto. She leads a highly interdisciplinary research team dedicated to improving outcomes of liver transplantation by developing multimodal tools of Artificial Intelligence for personalized predictions, and has been funded by CIHR, Canadian Liver Foundation, American society of Transplant among others. She has published over 200 papers in journals such as Lancet Digital Health, Journal of Hepatology, Gut and Hepatology. Dr. Bhat has been the recipient of recognitions such as the 2025 Canadian society of Transplant Research excellence award, 2022 CASL Research Excellence award and the 2021 American Society of Transplantation Basic Science Career Development Award. Dr. Bhat is also Partnership & Engagement Lead for the Temerty Centre for AI Research and Education in Medicine (T-CAIREM) and current Chair of the Transplant AI Taskforce of the AST.

Professor of Medicine Mayo Clinic, Rochester

Wisit Cheungpasitporn, M.D., FACP, FASN, FAST, is leading AI innovation in Nephrology and is a Professor of Medicine at Mayo Clinic in Rochester, Minnesota. He serves as the AI Content Lead for the Mayo Clinic Alix School of Medicine (MCASOM) and Course Director, where he defines the standards for integrating Artificial Intelligence and Machine Learning into medical education and kidney health.

AI Research Fellow, Stanford University, San Francisco

Dr. Artem A. Trotsyuk is an AI Research Fellow in Stanford University. He earned his PhD in Bioengineering and a Master’s in Computer Science with an AI specialization at Stanford. His doctoral research focused on developing a smart bandage that integrates a closed-loop AI processing system for wound sensing and therapeutic delivery. His current work centers on evaluating AI tools in biomedicine, as well as special projects related to security, intent capture, and persona modeling.