Sujay Nagaraj
MD PhD Candidate
Canada
Summary
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Senior🎓
Top SchoolSujay Nagaraj is a MD/PhD candidate at the University of Toronto who blends medicine and computer science to advance machine learning in healthcare, with a focus on medical time-series, wearable sensors, and clinical deployment. With nine years of diverse experience, he has led research and outreach—from directing Queen’s University initiatives to hands-on imaging and rheumatology studies at the McCaig Institute. His industry exposure includes an Insights Internship at BlueDot and a proven track record of cross-sector collaboration across academia, development, and health technology. He has presented work at national conferences and contributed to peer-reviewed literature, with a Journal of Rheumatology submission currently under review. Based in Canada, he combines a Queen’s background in Life Sciences and Computing with advanced CS training at Toronto to translate complex clinical problems into deployable ML solutions.
9 years of coding experience
6 years of employment as a software developer
Western Canada High School4.0, 4.0 at University of TorontoBachelor's of Science (Honours) with Distinction, Life Sciences (Major) and Computing (Minor), Bachelor's of Science (Honours) with Distinction, Life Sciences (Major) and Computing (Minor) at Queen's University
English, Kannada, HindiGithub contributions (5)
sujaynagaraj/sujaynagaraj.github.io
Dec 2023 - Jan 2025
Contributions:28 pushes, 1 branch in 1 year 1 month
sujaynagaraj/noise_multiplicity
May 2024 - Mar 2025
Contributions:17 pushes in 9 months
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