• Peter Horvath (Hungary) – AI in Health

Professor Peter Horvath is a leading figure in the field of AI-driven image analysis and computational cell biology. He heads the Biological Research Centre in Szeged and leads the Synthetic and Systems Biology Unit. His research integrates deep learning and high-content screening to advance personalized medicine and drug discovery.

• Eytan Ruppin (USA) – AI in Pathology and Biological Discovery

Prof. Eytan Ruppin is a computational biologist and physician-scientist at the National Institutes of Health (NIH) and the University of Maryland. His work focuses on the application of machine learning to cancer genomics, biomarker discovery, and integrative systems biology. He is widely recognized for bridging computational methods with clinical impact.

• Orly Lobel (USA) – BioMedicine’s Equality Machine

Orly Lobel is the Warren Distinguished Professor of Law and founding director of the Center for Employment and Labor Policy (CELP) at University of San Diego. She is the award-winning author of best-selling books and numerous high-impact articles. A graduate of Tel-Aviv and Harvard Universities, Lobel clerked on the Israeli Supreme Court and is a member of the American Law Institute. She has recently been named as the number one most cited scholar in employment and labor law, one of the most cited legal scholars in law and technology, and overall one of the most cited younger legal scholars in the United States. Lobel served on President Obama’s policy team on innovation and labor market competition, advised federal and state agencies on tech policy. Her books Talent Wants to be Free (Yale Press) and You Don’t Own Me (Norton) won many awards. Her new book The Equality Machine: Harnessing Tomorrow’s Technologies for a Brighter, More Inclusive Future (PublicAffairs) has received rave reviews and was named by The Economist Best Book of 2022 (“brilliant”). Science Magazine calls the book “masterful” and Kirkus describes The Equality Machine, “a compelling, hopeful, enthusiastic yet measured argument for technology’s potential to promote equality across many facets of culture and industry.” Lobel is the recipient of several prestigious research grants from the Robert Wood Johnson Foundation, the American Bar Association litigation Fund, the Searle-Kauffman Fellowship, the Southern California Innovation Project, and Netspar, University of Tilburg. Lobel serves on the advisory board for the Future of Privacy Forum. Her next book, Blood Sugar Money: HOW THE WORLD’S DEADLIEST AND COSTLIEST EPIDEMIC IS OUR BLUEPRINT TO END ALL ILLS is under contract with MIT Press.

• Ernest Fraenkel (USA) – AI for Patient Stratification and Target Discovery

Ernest Fraenkel is the Grover M. Hermann Professor in Health Sciences and Technology at MIT. His laboratory works at the cutting edge of computer science and biological engineering. The group develops approaches to find new therapeutic strategies for diseases by generating and integrating molecular, clinical, and behavioral data. Much of this work focuses on neurodegenerative diseases, especially ALS and Alzheimer’s.