Théau Blanchard

UMR 1346 HeKA & GEHealthcare

Paris, France

Hello ! I’m currently a PhD candidate in Applied Mathematics, working at PariSantéCampus, Beaujon Hopital, and GE Healthcare. I’m supervised by Stéphanie Allassonnière and Valérie Vilgrain. I am also tutored by Vincent Morard at GEHC and Jules Grégory at Beaujon.

I am also part of the Inria Paris’ team HeKA focused on Health data and model-driven Knowledge Acquisition. Before this, I was a Master student in Mathematics and Machine Learning at MVA (Health Track) at ENS Paris-Saclay. I also completed my engineering degree at Télécom Paris with a specialisation in Image and Signal processing.

My PhD subject is Virtual liver tumor pathology using self-supervised learning and multimodal data integration. I’m especially interested :

Metric learning: Riemannian and Finslerian geometry
Applied Finsler Geometry
Sampling using geometric methods
Medical imaging and its clinical applications

news

Oct 18, 2026	Our paper “Learning Directional Randers Geometry for Latent-Space Exploration “ is out! Check it out here.
Sep 28, 2026	Our paper “A Finslerian Approach for Embedding Directed Data” is out! Check it out here.
Jul 26, 2026	Our paper “Developing a histology-based artificial intelligence biomarker to predict adjuvant chemotherapy benefit in pancreatic cancer” got accepted in Journal of Clinical Oncology. Check it out here.
Jul 06, 2026	I gave a keynote talk at Artifical Intelligence & Mathematical Sciences on “Finsler-Randers Metric Learning for Direction-Aware Latent Space Exploration”.
Jun 09, 2026	I gave a contributed talk at Curves and Surfaces 2026 on “Asymmetric Geodesic Curves on Latent Manifolds via Randers-Finsler Metric Learning”.

selected publications

HAL

Learning Directional Randers Geometry for Latent-Space Exploration

Théau Blanchard and Stéphanie Allassonnière

May 2026

Preprint, 2026

PDF
HAL

A Finslerian Approach for Embedding Directed Data

Théau Blanchard, Gwendal Debaussart-Joniec, and Argyris Kalogeratos

Sep 2026

Preprint, 2026

PDF

EJE

Determinants of extracellular fluid calcium concentration in patients with chronic hypoparathyroidism

Arthur Michon-Colin, Théau Blanchard, Elise Bouderlique, Gérard Maruani, and 1 more author

European Journal of Endocrinology, 2026

DOI Bib

@article{michon2026determinants,
  title = {Determinants of extracellular fluid calcium concentration in patients with chronic hypoparathyroidism},
  author = {Michon-Colin, Arthur and Blanchard, Th{\'e}au and Bouderlique, Elise and Maruani, G{\'e}rard and Houillier, Pascal},
  journal = {European Journal of Endocrinology},
  volume = {194},
  number = {3},
  pages = {326--335},
  year = {2026},
  publisher = {Oxford University Press UK},
  url = {https://academic.oup.com/ejendo/article-abstract/194/3/326/8490649},
  doi = {10.1093/ejendo/lvag036},
}

JCO

Developing a histology-based artificial intelligence biomarker to predict adjuvant chemotherapy benefit in pancreatic cancer

Audrey Beaufils, Julien De Martino, Xiaofeng Jiang, Théau Blanchard, and 7 more authors

Journal of Clinical Oncology, 2026

DOI Bib

@article{beaufils2026developing,
  title = {Developing a histology-based artificial intelligence biomarker to predict adjuvant chemotherapy benefit in pancreatic cancer},
  author = {Beaufils, Audrey and De Martino, Julien and Jiang, Xiaofeng and Blanchard, Th{\'e}au and Fraunhoffer, Nicolas and Mendes, Diana and Pignolet, Camille and Bourega, Taib and Meneghetti, Asier Rabasco and Sainath, Srividhya and others},
  journal = {Journal of Clinical Oncology},
  pages = {JCO--26},
  year = {2026},
  publisher = {Wolters Kluwer Health},
  url = {https://ascopubs.org/doi/pdfdirect/10.1200/jco-26-00327},
  doi = {10.1200/JCO-26-00327},
}