I was born in Paris, France and got my B.Sc. and M.Sc. in Mathematics & Physics from Ecole Polytechnique in France and Imperial College London in the UK. Then, I went to INRIA for my PhD under the supervision of Xavier Pennec and to Stanford for my postdoc under the mentorship of Susan Holmes. I have worked in early stage startups in the Bay Area, California, including Caption Health and Atmo. My path to academia began unconventionally as an officer in the French Army. Some professional highlights below. Download PDF copy of my CV.
Selected HOnors & AWARDS
Public Voice Fellow of the OpEd project, whose mission is to change who writes history (2025).
Hellman Fellow (2024).
UCSB Academic Senate Research Grant (2023)
NSF CAREER Award (2023).
UC Regent’s Junior Faculty Award at UC Santa Barbara (2022).
PROWESS Fellowship (2022).
1st Prize ($100,000) in the C3.ai Covid-19 Grand Challenge (2020).
CONNECT award at Stanford University (2019).
Awarded US Residency in NIW EB2 classification: Alien of Extraordinary Abilities in Science (2018).
Special Mention in the AFRIF Prize, French Association for Shape Recognition & Interpretation (2018).
3rd Prize in 3min thesis competition: “Predictive Medicine” (2017).
Médaille Université Côte d’Azur (2016).
Applied Sciences Visiting Fellowship, France-Stanford Center for Interdisciplinary Studies (2014).
1st Prize at MICCAI Educational Challenge, MIT, Boston (2014).
PhD Scholarship, National INRIA S-Cordi (2013).
Selected Professional Activities
Organizer of the WIDS Datathon, Global and University Editions (2025).
Organizer of the NeurIPS NeuREPS Workshop on Symmetry and Geometry in Neural Representations (2022, 2023, 2024, 2025).
Organizer of the CVPR 2024 Workshop on Topological Deep Learning for Computer Vision.
Organizer of the BIRS 2023 Workshop on Mathematical Methods for exploring and analyzing morphological shapes across biological scales.
Organizer of the MICCAI 2022 Workshop on Topological Data Analysis and its Applications for Medical Data.
Organizer of the ICLR 2022 Workshop on Geometrical and Topological Representation Learning.
Organizer of the ICLR 2021 and ICLR 2022 Challenges of Computational Geometry and Topology, and the ICML 2023 and ICML 2024 Challenges of Topological Deep Learning.
Mentor at Outreachy (2021), at London Geometry in Machine Learning Summer School (2022), and MIT Summer Geometry Institute (2021, 2022).
Member of the scientific committee of the Conference of Geometric Science of Information (GSI) (2017, 2019, 2021, 2023).
Organizer of hackathons for geometry in machine learning (2019-2023), see for example SCAI Geomstats Hackathon.
Selected Press
The Current. “Leveraging AI to Study Women’s Brains During and After Pregnancy”. (2025).
Mind Over Matter Podcast: “Geometric Intelligence with Dr. Nina Miolane”. (2024).
Authority Magazine. "Inspirational Women in STEM and Tech: Nina Miolane Of The Geometric Intelligence Lab". (2024).
Science et Vie. "The secrets of our thoughts revealed by the mathematics". (2023).
The Current. “The math of cell movement” (2022).
Ovio. Open Source bridges the gap between mathematical research and industry. (2021).
This Week in Machine Learning (TWiML) Podcast: "Nina: Miolane: Geometric Statistics in Machine Learning w/ Geomstats". (2018).
Interstices, Inria. "The mathematics of space-time that describe — and go beyond — the brain." (2017).
NVIDIA webinar. How AI is transforming Healthcare. (2017).
TVFIL78: "Research: She wants to challenge the status quo". (2017).
Le Monde. Binaire. “Miolane’s anatomy.” (2017).
Spirou Magazine. "Brain research: inside the labs". (2017).
France Inter, National Radio. Podcast: "Le Club de la Tête au Carré". (2016).
RTL2 Podcast. “A Niçoise researcher’s work receives top honors”. (2016).
TVFIL78 Daily Show: “Nina Miolane: Awardee of the L’Oréal-Unesco For Women in Science Fellowship.”(2016) .
France 3 Azur. “She receives the L’Oréal-Unesco For Women in Science Fellowship for her research”. (2016).
Les Editions Select. (2016).
78actu. “Spotlight on a clear-thinking researcher”. (2016).