Nina Miolane

I am a researcher on Geometric Statistics for Medical Image Analysis, at Inria (France) and a consultant for the start-up Bay Labs.

Contact information

  • Addresses:
Inria, Asclepios Project-Team, Office F224, Bâtiment Fermat, 2004 route des lucioles, 06902 Sophia-Antipolis, France

Stanford University, Department of Statistics, Sequoia Hall, 390 Serra Mall, CA 94305 Stanford, United States

Bay Labs, 290 King Street, 94107 San Francisco, United States
  • Email: nina.miolane at inria.fr; nina at baylabs.io


Publications


Journals
Conferences with peer-reviews

Ph.D Thesis

Others

Research interests

  • Applied Statistics and Machine learning,
  • Riemannian, pseudo-Riemannian and sub-Riemannian geometry,
  • (Organ) shape analysis,
  • (Medical) Image processing,
  • (Medical) Image Analysis.

Reviewer

  • NeuroImage (2014)
  • Journal of Mathematical Imaging and Vision (2015, 2017)
  • NIPS conference (2016)
  • GSI conference (2017)

Member of scientific committees

Fellowships

Awards

Background

  • PhD in "Geometric Statistics for Computational Anatomy". Inria, in collaboration with Stanford.
  • MS. in Theoretical Physics "Quantum Fields and Fundamental Forces". Imperial College London, UK.
  • "Diplôme d'Ingénieur" and MS. in Mathematics and Theoretical Physics. Ecole Polytechnique, France.

Medias


Newspapers

Radios

TVs

Scientific mediation

Communication on science and scientists

In highschools:

Invited talks

Useful links

Comments