Romain Billot

Romain Billot is an Associate Professor in Data Science at IMT Atlantique since 2016, affiliated with the Département Science des Données and Lab-STICC. His research focuses on data mining, optimization, and their applications in smart mobility and connected health. Prior to this, he worked as a researcher at LICIT (IFSTTAR/ENTPE) and completed a postdoc at Queensland University of Technology. He holds a PhD from École Centrale Paris (2010) and a Computer Science degree from Université de Technologie de Compiègne (2007).

His teaching includes courses in statistics, machine learning, and data science across undergraduate and graduate programs at IMT Atlantique. He has supervised numerous PhD students, contributing to impactful work such as the 2017 ABERTIS Prize-winning thesis on traffic prediction and the 2014 ABERTIS Prize for research on cooperative highway traffic modeling.

Key research areas include travel time modeling, shortest path algorithms, and multi-objective optimization. His work bridges theory and practice, addressing real-world challenges in transportation and healthcare. Collaborations with institutions like Lab-STICC and international conferences highlight his interdisciplinary approach.