Medical Physicist · Healthcare AI · Radiation Medicine

Bridging medical physics, AI, and clinical research to support safer and more personalized cancer care.

I am a medical physicist with an MSc from the CAMPEP-accredited Medical Physics program at Université Laval and an IAEA Marie Skłodowska-Curie Fellow. My work combines hands-on experience in radiotherapy dosimetry and quality assurance with AI research in oncology, medical imaging, and multimodal clinical/imaging data analysis.

I graduated with my M.Sc. in June 2026 and am now a Research Professional (part-time, remote) in the lab of Dr. Frédéric Pouliot at CRCHU de Québec, developing machine-learning methods for translational prostate cancer research, and a member of the Fall 2026 cohort of the Quebec Scientific Entrepreneurship Program (QcSE). During my year at the IAEA Dosimetry Laboratory (2025 to 2026), I worked on radiotherapy dosimetry, audit methodology, and quality assurance initiatives, including data analysis for a multi-centre end-to-end brachytherapy dosimetry audit and the development of Python-based software for independent dose evaluation and verification in OSLD/RPLD dosimetry audits. My research focuses on graph neural networks, survival modeling, and multimodal clinical/imaging data integration for cancer prognosis, and I bring three years of healthcare AI industry experience developing deep learning tools for medical imaging applications.

Toronto, Canada