I am a critical care fellow currently training in Switzerland 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.
- 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)
- 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