I am a quantitative researcher at Capital Fund Management (CFM), working on machine learning and generative AI techniques to predict novel trading signals. Before that I was a postdoctoral researcher at ENS Paris-Saclay under the surpervision of Jean-Michel Morel and Gabriele Facciolo. Before that, I was a PhD student at INRIA Paris, in the WILLOW project team under the supervision of Jean Ponce and Jian Sun. I worked on hybrid methods for image deblurring, at the intersection of classical inverse problems and recent deep learning techniques. Prior to research, I received the BS and the MS degrees from Telecom Paris and the MVA MS degree from ENS Paris-Saclay. During my PhD, I was a recurrent visitor at NYU Center for Data Science.
I now work in finance, but I remain deeply passionned about computational photography, computer vision and computer graphics. CFM's deep-rooted academic culture allows me to pursue research in these domains. If you want to reach me for questions, chatting, ideas, and/or collaborations, feel free to do so!
Jipeng Sun, Kaixuan Wei, Thomas Eboli, Congli Wang, Cheng Zheng, Zhihao Zhou, Arka Majumdar, Wolgang Heidrich, Felix Heide
SIGGRAPH, 2025
[paper]
Thomas Eboli, Jamy Lafenetre, Jean-Michel Morel, Gabriele Facciolo
Preprint, 2025
[paper]
Thomas Eboli, Jian Sun, Jean Ponce
Arxiv, 2021
[paper]
Thomas Eboli*, Alex Nowak Vila*, Jian Sun, Francis Bach, Jean Ponce, Alessandro Rudi
Arxiv, 2020
[paper]
