Computational Cardiology

We focus on the development of personalised computational models of the heart, designed to help diagnosis and therapy planning. Our current challenges are related to new levels of modeling and new clinical applications (pharmacokinetics, screening…). It also integrates new sources of measurements and the access to very large multimodal databases of images and measurements, at various spatial and temporal scales (connected sensors, biobanks…). Our goal is to combine two complementary computational approaches, machine learning and biophysical modelling, to leverage their added value.


  • Maxime Sermesant, Group leader
  • Pamela Moceri, Cardiologist, Nice University Hospital
  • Marie Deprez, Post-doc, co-supervised with Marco Lorenzi
  • Tania Bacoyannis, PhD student
  • Buntheng Ly, PhD student, co-supervised with Hubert Cochet (IHU Liryc)
  • Gaëtan Desrues, PhD student, co-supervised with Delphine Feuerstein (Microport CRM)
  • Victoriya Kashtanova, PhD student, co-supervised with Patrick Gallinari (Sorbonne Universités)
  • Yingyu Yang, PhD student, co-supervised with Pamela Moceri (Nice University Hospital)
  • Josquin Harrison, PhD student, co-supervised with Xavier Pennec


  • Jaume Banus Cobo
  • Nicolas Cedilnik
  • Shuman Jia
  • Sophie Giffard-Roisin
  • Rocio Cabrera-Lozoya
  • Roch Molléro
  • Nicolas Duchateau
  • Tommaso Mansi
  • Jatin Relan
  • Kristin McLeod
  • Adityo Prakosa
  • Nicolas Toussaint
  • Loic Cadour
  • Florian Vichot
  • Ken Wong
  • Antoine Despinasse


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