I am a professor in the Department of Applied Mathematics at École polytechnique, where I have been working since September 2013. My research is conducted at the Center for Applied Mathematics (CMAP). I am a member of the SIMPAS team (Signal Image Probability Numerical and Statistical Learning). I work on data-related problems using approaches related to machine learning, artificial intelligence, statistics, and signal processing. I have a passion for applications and for knowledge transfer through teaching. I teach both initial and continuing education courses. I am responsible for several programs offered by the school: MScT Data Science and Artificial Intelligence for Business and continuing education programs (AI for Business and Leading with Data and AI) for Polytechnique Executive Education. I also contributed to the creation of the M2 Data Science program at Institut Polytechnique de Paris and managed the PA for Applied Mathematics and Data Science for many years.

My current research focuses on two main areas: health (particularly women’s health) and reinforcement learning. I enjoy collaborating on these topics with PhD students and co-supervisors from diverse backgrounds.

I have a background in applied mathematics, artificial intelligence, and signal processing: ENS Cachan in Mathematics in 1995, DEA in Mathematics and Artificial Intelligence (the predecessor of MVA) in 1997, and a PhD defended in 2022 at École polytechnique with S. Mallat on the use of geometry in image representation. I have primarily worked in academia (Associate Professor of Statistics at Paris Diderot from 2004 to 2010, Research Scientist in the Inria Select project from 2009 to 2014). I joined École polytechnique as a professor in 2013 after completing my HDR (Habilitation à Diriger des Recherches). I have been a member of the SIMPAS team ever since, and was its head from 2015 to 2024. I held the École polytechnique Data Scientist Chair for its 5-year existence (2014-2019) and was part of the Inria X’Pop team (2018-2023).

I also have experience in entrepreneurship through the creation of two startups, Let It Wave and Sonio. Let It Wave was founded in 2001 by S. Mallat, Ch. Bernard, J. Kalifa, and myself to commercialize the research I had conducted during my PhD. When it was acquired by Zoran in 2008, it was designing real-time video processing chips. I supported this project as a postdoctoral researcher from 2002 to 2004 and then as a consultant from 2004 to 2012, when it was closed following the acquisition of Zoran by CSR. Sonio emerged from the PhD work of R. Besson on assisting in the diagnosis of rare diseases during prenatal ultrasound examinations. This thesis was co-supervised with S. Allassonière and obstetricians from Necker, Y. Villes, and J. Stirnemann. To ensure the sustainability of Rémi’s work, we created a company that later became Sonio with the decisive arrival of C. Brosset. Under his leadership, Sonio grew to become a provider of a complete solution for prenatal ultrasound and was acquired by Samsung Medison in 2024. I serve as a scientific consultant for R. Besson and his research teams.