François Fleuret is a distinguished academic in the field of machine learning and computer science. He contributes to the Science Innovation Hub at the University of Geneva, where he focuses on the development of novel machine learning methods, particularly concerning algorithmic cost and sample efficiency. Fleuret is affiliated with the Faculty of Science and is involved in various research initiatives that aim to advance the understanding and application of machine learning techniques. His scholarly work is characterized by a commitment to excellence in teaching and research. He has participated in numerous academic dialogues and conferences, where he collaborates with peers from various institutions to further explore the implications of machine learning in diverse fields such as law and the humanities. Fleuret is keenly interested in how machine learning can be leveraged to better society and enhance research methodologies across disciplines.