Rina Khan is a PhD student and research assistant at Queen's University specializing in the intersection of AI, racial justice, and cancer care, with nine years of experience spanning research, data science, and web development. She investigates racial bias in medical imaging AI, developing methods to detect and mitigate bias while applying statistical techniques like MICE for missing data imputation. Her background includes building production-grade frontends with React and TypeScript, optimizing performance (sub-5ms cached loads), and integrating AWS serverless microservices, Algolia, and payment gateways. Rina has scraped and curated large-scale datasets for research, mentored students and junior engineers, and helped scale training platforms used by thousands of clinicians. She combines rigorous academic training (MSc with a 4.23 GPA and ongoing PhD) with practical product experience, uniquely positioning her to translate ethical AI research into deployable healthcare tools.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computing, GPA: 4.23/4.3, Master of Science - MS, Computing, GPA: 4.23/4.3 at Queen's University
Bachelor of Engineering - BE, Computer Engineering, Bachelor of Engineering - BE, Computer Engineering at Multimedia University
Contributions:4 pushes, 1 branch in 2 years 5 months
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Rina Khan - Research Assistant at Carleton University