Hugo Schmutz
Email: hugo.schmutz[at]inria.fr
Twitter: @HugoSchmutz2
I am a PhD student at Université Côte d’Azur in Nice, where I am part of the TIRO Lab of faculty of medicine and Maasai (Models and Algorithms for Artificial Intelligence) team of Inria and the J. A. Dieudonné laboratory. I work under the supervision of Dr. Olivier Humbert (chair holder of the 3IA Institute) and Pierre-Alexandre Mattei.
Prior starting my PhD, I graduated as Engineer in Mathematics and Informatics at Ecole des Ponts Paristech and received a Master degree from Ecole Normale Superieure Paris-Saclay in Mathematics, vision and learning (MVA) in 2020.
My research interests include:
- Semi-supervised Learning
- Attention-based and permutation invariant models
- Medical and Biological applications
Contribution
E. Kiner, E. Willie, B. Vijaykumar, H. Schmutz, J. Chandler, G. LeGros, S. Mostafavi, D. Mathis, C. Benoist and the Immunological Genome Project Consortium, Gut CD4+ T cell phenotypes: a continuum molded by microbes, not by Th archetypes, Nature Immunology (2020)
A. Maslova, R. N. Ramirez, K. Ma, H. Schmutz, C. Wang, C. Fox, B. Ng, C. Benoist, S. Mostafavi and the Immunological Genome Project, Learning immune cell differentiation, PNAS (2020)
Working paper
H. Schmutz, M. Makhmutova, J.B. Cordonnier, M.Jaggi, M.A. Hartley, DeepChest: A neural attention model for interpretable, missingness-resilient diagnosis and risk stratification of COVID-19 from lung ultrasound images
