Short Bio

I am a postdoctoral research fellow at Harvard Medical School in Mahmood Lab (since May 2022). I hold a PhD in electrical engineering and computer science from the Ecole Polytechnique Federale de Lausanne (EPFL), obtained in collaboration with IBM Research – Europe and ETH – Zurich under the supervision of Jean-Philippe Thiran and Maria Gabrani.

My research focuses on computational pathology, for the development of scalable, explainable and annotation-efficient computer-aided diagnosis tools and the discovery of novel biomarkers. My main contribution is to have explored the paradgim of graphs for modeling histology images, by representing biological entities, (e.g., nuclei, tissue regions) as nodes, entity-entity interactions as edges. I am also the main contributor of HistoCartography, a Python library to ease the development of computational pathology and graph analytics tools.

I have published in top-tier computer vision and machine learning conferences (e.g., CVPR, MICCAI), and journals (e.g., Medical Image Analysis), with numerous Best Paper Awards obtained in conference workshops (e.g., ICML workshop in Computational Biology). I have also organised several workshops (e.g., Applied Machine Learning Days), and given 10+ talks in top-tier universities and university hospitals (e.g., Charité Berlin Hospital, University Hospital of Zurich, University Hospital of Lausanne).