Summary
Minh To is a postdoctoral researcher and machine learning scientist with a PhD from UBC, specializing in robust and trustworthy AI for medical imaging across ultrasound and MRI. His work spans deep learning, multimodal fusion, ensemble methods, and fairness, with publications at ICML and MICCAI and practical collaborations that translate models into clinical decision support. Currently at McGill and Mila, he leads research on adapting multimodal large language models to healthcare, improving domain-specific reasoning via retrieval and longitudinal integration of imaging and clinical data. He has a track record of industry-academic impact from internships and research roles at the Vector Institute, where he developed ensemble approaches and hypothesis tests for covariate shift detection. Known for bridging interdisciplinary teams, he routinely supervises students and partners with clinicians to ensure research meets real-world diagnostic needs.
8 years of coding experience
9 years of employment as a software developer
Nguyen Thi Minh Khai High School, HCM
Master's degree, Computer Science, Master's degree, Computer Science at Sejong University
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at The University of British Columbia
Bachelor's degree, Biomedical/Medical Engineering, Bachelor's degree, Biomedical/Medical Engineering at International University - VNU HCMC