About me

I am a Research Scientist at Mila, dedicated to enabling cutting-edge research by improving access to computational resources. My work centers on two key projects: Milabench, a benchmark for GPU-intensive AI pipelines to support hardware acquisition decisions, and SARC, a monitoring tool for decentralised HPC resources to ensure optimal usage of our computational resources.

I earned my PhD from the Université de Montréal, under the supervision of Pascal Vincent, where I laid the foundation for my expertise in benchmarking and reproducibility in AI pipelines. During my Master’s and PhD I also explored a wide range of topics, including NLP, Computer Vision, optimization, and theoretical deep learning.

I am deeply passionate about benchmarking and evaluation, striving to ensure the reliability and robustness of systems through rigorous testing. Beyond my research, I am an avid developer and a strong advocate for open-source software.