About Me
I am currently a PhD student at the University of Edinburgh in the April lab, supervised by Antonio Vergari and Jan-Willem van der Meent . My research focuses on the sustainability of AI.
I was a master’s student in Computer Science at École de Technologie Supérieure (ETS) and Mila in Montréal, working in the Neuro-iX lab . At the same time, I was also completing a Diplôme d’Ingénieur (equivalent to a combined BS/MS) at Université de Technologie de Compiègne / Sorbonne Alliance in France, with a specialization in AI and Data Science.
My research, under the supervision of Sylvain Bouix and Samira Ebrahimi Kahou, focused on automating brain MRI quality control using deep learning. Specifically, I worked on detecting and quantifying motion artifacts in 3D T1-weighted brain MRIs. For this purpose, we developed Agitation , a tool to quantify subject motion in T1w brain MRI.
Research Interests
I want to help make AI more sustainable. Right now, deep learning is often data-inefficient, power-hungry, and behaves like a black box. Plus, designing or scaling models is painfully hard with loads of hyperparameters to try. I think there’s huge potential in improving our methods and exploring alternative approaches like Probabilistic Circuit and Neurosymbolic AI. Beyond sustainability, I’m also passionate about Open Science.