Summary
Francis Carter is a data-driven researcher and machine learning practitioner with six years of experience bridging academic research and industry internships, including a machine learning role at Hydro-Québec and research positions at Concordia University. He combines a strong quantitative foundation—BS in Neuroscience with a near-perfect GPA and a Master's in Machine Learning—with hands-on project and team management from supervising teaching assistants and coordinating medical operations. A former national and international Olympic freestyle wrestler, he brings elite discipline, resilience, and strategic decision-making under pressure to technical problem solving. Currently training in medicine (MD), Francis uniquely blends clinical insight with ML expertise, positioning him to tackle interdisciplinary challenges at the intersection of healthcare and data science.
6 years of coding experience
4 years of employment as a software developer
Master's degree, Machine Learning, Master's degree, Machine Learning at Université de Montréal
Doctor of Medicine - MD, Medicine, Doctor of Medicine - MD, Medicine at Université de Sherbrooke
Bachelor of Science - BS, Neuroscience, 4.29 / 4.3, Bachelor of Science - BS, Neuroscience, 4.29 / 4.3 at Concordia University