Leon Xu is a PhD candidate and graduate student researcher at the University of Toronto with 11 years of software and research experience building machine learning, statistical, and algorithmic tools for proteomics, metabolomics, and personalized medicine. He combines backend engineering chops with applied deep learning to develop computational mass spectrometry pipelines and research-grade software used in computational biology. His background includes internships at Google and Deep Genomics and co-founding a health-tech startup, demonstrating an ability to move between production engineering and biomedical research. A frequent teaching assistant across core CS courses, he pairs strong communication and mentorship with hands-on system design. Notably, his work bridges high-throughput biology and scalable ML infrastructure, enabling translational tools that support precision health research.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computational and Systems Biology (Applied Deep Learning), Doctor of Philosophy - PhD, Computational and Systems Biology (Applied Deep Learning) at University of Toronto
International Baccalaureate, International Baccalaureate at Colonel By Secondary School
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