About me.

I am a critical care fellow currently training in Paris and working in the Geneva Stroke Lab led by Prof. Emmanuel Carrera (Hôpitaux Universitaires de Genève). Previously, I had the opportunity to learn and work at the MIP-lab headed by Prof. Dimitri Van De Ville (EPFL) and the Lee Lab directed by Dr. Daniel Lee (Harvard, MEEI). My research centers on biomedical applications of machine learning, with a special focus on acute ischemic stroke.

In addition to my clinical work and research, I love designing practical tools to enhance the care for patients and enjoy contributing to open-source projects. I am currently working on Kassandra, a tool to bring machine learning into my clinical practice. I have worked on PHI, a tool aiming to connect patients to their hospital caregivers before and after their stay and had a hand in peer-to-peer communication networks whilst running Vlynt.

For a more formal account of my academic work, see my Curriculum Vitae or Google Scholar.

Academic Projects

  • Machine Learning in the prediction of outcome after acute ischemic stroke using clinical and imaging parameters
  • Brains and Donuts, a topological study of brain perfusion
  • Formation continue (malgré le COVID), an improvised and socially-distanced attempt to provide lectures to medical and surgical residents (in french)

Non-Academic Projects:

  • Kassandra, bringing machine learning safely to clinical practice
  • FentaSim, a tool to simulate effect site concentrations of fentanyl
  • DD4PcPH, a tool to help choosing the right measure of cardiac output for the diagnosis of pulmonary hypertension
  • PHI, connect patients to their hospital
  • Vlynt, a peer-to-peer content delivery network
  • I try to help out with great open-source projects, such as nibabel and created some open-source tools such as RandAugment3D