Léonard Boussioux is a rising star in the field of Operations Research and Machine Learning, with a research focus on optimization and computer vision. Boussioux currently pursues his Ph.D. at the Massachusetts Institute of Technology under the guidance of Prof. Dimitris Bertsimas. He has also held visiting scholar positions at Mila and University of California, Berkeley, and has worked as a machine learning researcher and engineer at various organizations, including Laboratoire de l'Accelerateur Lineaire and CNRS - Centre national de la recherche scientifique. His educational background includes a master's degree in computer science and applied mathematics from École Centrale Paris, where he graduated among the top 1% of his class. Boussioux's vision is to create interpretive models that address high-impact problems using advanced analytic methods. Through his expertise, he aims to provide innovative and effective solutions to complex issues in healthcare, weather prediction, and other domains.