Baptiste CALLARD

Baptiste CALLARD

ML research intern

MVA Valeo.ai

Bio

I am currently an ML research intern at Raidium where I work on adapting large-scale vision–language and self-supervised foundation models to the medical domain. My current research focuses on bridging natural and medical imaging by extending self-supervised learning to CT and MRI data, with the goal of learning transferable, robust representations for clinical tasks. I develop also contrastive reports to 3D MRI/CT volumes pre-training as a backbone for report generation.

Previously, I interned at Valeo.ai as part of my MVA Master’s degree at ENS Paris-Saclay in France. I am studying multi-camera tokenisation methods applied to the field of autonomous cars. I like to work on open-source projects involving as little human supervision as possible and am therefore very interested in self-supervised or few-shot learning methods. Thanks to my last research experiences at Valeo.ai and Airbus DS.

News

  • News 📄 (08/09/2025): Curia new SOTA MRI/CT model is out arxiv.

  • News 🩻 (10/03/2025): Joined Raidium as a permanent ML Researcher.

  • News 🎓 (01/09/2024): Obtained my MS. MVA from ENS Paris-Saclay with the highest honor (18.20/20.0).

  • News 🚗 (15/04/2024): Joined Valeo.ai research team for a 6-month intership til October on “Tokenization from multi-camera autonomous drivin data” under the supervision of Florent Bartoccioni and Spyros Gidaris.

  • News 🎓 (01/09/2023): Obtained my MS. in Applied Mathematics (engineering degree) from INSA Rennes with highest honor (GPA 4.0/4.0).

  • News 🛰️ (12/02/2023): Joined Airbus DS research team for a 6-month intership on “Building segmentation and polygonalization from very high resolution satellite imagery” under the supervision of Alexandre Mayerowitz.

  • News 🪪 (01/07/2022): Joined Qohash research team for a 3-month intership on “Insider threat detection within companies using temporal graphs” under the supervision of Julien Keutchayan.

  • News 🎥 (01/07/2021): Joined Wizdeo team for a 2-month intership on “Data pipeline and sponsorship price forecasting between influencers and brands.” under the supervision of Jordan Tremoureux.

Challenges