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.
At the IAEA Dosimetry Laboratory, I have worked on radiotherapy dosimetry, audit methodology, and quality assurance initiatives, including the development of Python-based software for independent dose evaluation and verification in OSLD/RPLD dosimetry audits. In parallel, my research focuses on graph neural networks, survival modeling, and multimodal clinical/imaging data integration for cancer prognosis. I also bring three years of healthcare AI industry experience developing deep learning tools for medical imaging applications.
Toronto, Canada
Education
MSc Medical Physics
CAMPEP-accredited program, Université Laval
IAEA Marie Skłodowska-Curie Fellow
Now
Medical Physics Intern
IAEA Dosimetry Laboratory, Vienna
Dosimetry · QA · Dose evaluation software · Research
Focus
Clinical translation in radiation medicine
Medical physics · Healthcare AI · Multimodal cancer prognosis
Explore
Projects →
Selected academic, clinical, and AI projects at the intersection of medical physics, radiation medicine, and healthcare technology.
Publications →
Peer-reviewed articles, manuscripts, and conference presentations in medical physics, oncology, imaging, and AI.
Experience →
My background across radiation medicine, dosimetry and QA, research, and healthcare AI.