Session 1: Research | Research results shaping tomorrow’s health data science

Guillaume Obozinski is Deputy Executive Director and Chief Data Scientist at the Swiss Data Science Center, while also serving as a Titular Professor at ETH Zurich. He graduated with a PhD in Statistics from UC Berkeley in 2009. He did his postdoc and held until 2012 a researcher position in the Willow and Sierra teams at INRIA and Ecole Normale Supérieure in Paris. He was then Research Faculty at Ecole des Ponts ParisTech until 2018. Guillaume has broad interests in statistics and machine learning and worked over time on sparse modeling, optimization for large scale learning, graphical models, relational learning and semantic embeddings, with applications in various domains from computational biology to computer vision.

Charlotte Bunne is an assistant professor at EPFL in the School of Computer and Communication Sciences (IC) and School of Life Sciences (SV). She is part of the Swiss Institute for Experimental Cancer Research (ISREC) and the EPFL AI Center. Before, she was a PostDoc at Genentech and Stanford working with Aviv Regev and Jure Leskovec and completed a PhD in Computer Science at ETH Zurich working with Andreas Krause and Marco Cuturi. During her graduate studies, she was a visiting researcher at the Broad Institute of MIT and Harvard hosted by Anne Carpenter and Shantanu Singh and worked with Stefanie Jegelka at MIT. Charlotte has been a Fellow of the German National Academic Foundation and is a recipient of two ETH Medals.

Michael Moor MD, PhD is a Tenure-Track Assistant Professor of Medical AI at ETH Zurich in the Department of Biosystems Science and Engineering (D-BSSE). Prior to this, he conducted postdoctoral research in the Department of Computer Science at Stanford University, under the mentorship of Prof. Jure Leskovec. He earned his PhD in the Machine Learning and Computational Biology Lab at ETH Zurich, advised by Prof. Karsten Borgwardt, and holds an MD from the University of Basel.

His research focuses on developing medical foundation models and language agents grounded in medical knowledge, capable of flexibly integrating multiple data modalities, performing multi-step clinical reasoning, and learning in real time from interactions. His work has been published in leading journals such as Nature and Nature Medicine, and presented at top AI conferences including NeurIPS, ICML, EMNLP, and ICLR. He was a recipient of a fellowship from the Swiss Study Foundation.