Jasmin Fisher is Professor of Computational Biology at University College London Cancer Institute. She received her PhD in Neuroimmunology from the Weizmann Institute of Science in 2003. She then started her pioneering work on the application of formal verification methods to analyse executable mechanistic models of cellular processes as a postdoctoral fellow at the EPFL in Switzerland.

In 2007 Jasmin joined the Microsoft Research Lab in Cambridge where she was a Principal Researcher until 2019. In 2012 she was also appointed as an Associate Professor in the Department of Biochemistry at the University of Cambridge. In 2019, Jasmin relocated her lab to the UCL Cancer Institute. Her research group develops state-of-the-art computational models and analysis techniques to study cancer evolution and mechanisms of therapy resistance to identify better personalised treatments for cancer patients. Her studies, in partnership with clinicians, pharma and biotech companies have led to the identification of new combination therapies that increase efficacy and overcome treatment resistance for different cancer types, paving the way for improved patient outcomes. In 2017 Jasmin was named one of the Top Outstanding Female Leaders in the UK Healthcare and was elected Fellow of the Royal Society of Biology in 2018.

Antoine Bosselut is an assistant professor in the School of Computer and Communication Sciences at EPFL, where he leads the Natural Language Processing (NLP) lab, which conducts research on natural language processing (NLP) systems that can model, represent, and reason about human and world knowledge. Previously, he was a postdoctoral fellow at Stanford University and a Young Investigator at the Allen Institute for AI (AI2). He received his PhD at the University of Washington in 2020. He was named as a Forbes 30 under 30 for Science and Healthcare in Europe (2021). His research focuses on building knowledge-aware NLP systems, specializing in commonsense representation and reasoning. He was named as one of the Forbes 30 under 30 list for Science and Healthcare in 2021.

David Atienza Alonso is a professor of Electrical and Computer Engineering and the Head of the Embedded Systems Laboratory (ESL) in EPFL the School of Engineering. He received his MSc and Ph.D. degrees in computer science and engineering from UCM, Spain, and IMEC, Belgium, in 2001 and 2005, respectively. His research interests include system-level design methodologies for high-performance multi-processor system-on-chip (MPSoC) and low-power Internet-of-Things (IoT) systems, including ultra-low power edge AI architectures, smart embedded systems, and network-on-chip design.

He has co-authored more than 400 papers, three books, and 14 licensed patents in these areas. He has also received several recognitions and awards, including the ICCAD 10-Year Retrospective Most Influential Paper Award in 2020, and the 2024 Test-of-Time Award the ACM/IEEE, and he is currently the Chair of the European Design Automation Association (EDAA). He is a Fellow of both IEEE and ACM, and he has recently been named Editor-in-Chief of the journal Computing Surveys (CSUR) of the Association for Computing Machinery (ACM).