Martin Royer

Laboratoire de Mathématiques d'Orsay
Equipe de Probabilité Statistique et Modélisation
Bât. 430
Université Paris-Sud
91405 Orsay Cedex

Courrier électronique :
Bureau : 016
Téléphone : (+33) 1 69 15 76 18

PhD Candidate at Paris-Saclay University and Cornell University

under supervision of Florentina Bunea (PR Cornell University) and Christophe Giraud (PR Paris-Sud University). My current research focuses on point and variable clustering, sparse latent graphical models and convex optimization. Example applications include the delimitation of regions of interest in the brain for functional magnetic resonance imaging, and the clustering of co-expressed genes from genomics data.


  1. Adaptive Clustering through Semidefinite Programming, to appear in Advances in Neural Information Processing Systems, 2017
  2. PECOK: a convex optimization approach to variable clustering with Florentina Bunea, Christophe Giraud and Nicolas Verzelen, 2016


  1. Spring 2017 - Teaching Assistant for Theory of Statistics - Cornell University (BTRY/STSCI 4090)
  2. Spring 2016 - Teaching Assistant for Theory of Statistics - Cornell University (BTRY/STSCI 4090)

Conferences & Talks

  1. MathStatAppli 2017 - Oral communication, Clustering with a convex, corrected relaxation of K-means - Fréjus
  2. ISNPS 2016 - Invited speaker, session New advances in Network Modeling - Avignon

Département de Mathématiques
, Université Paris-Sud, Bât. 425, F-91405 Orsay Cedex ,France