Summary
Zhongyuan Zhang is a Biostatistics PhD candidate at the University of Toronto and a research analyst at SickKids, blending rigorous statistical methodology with applied health-economics and clinical research. He has a strong computational foundation from a B.Math in Computer Science & Statistics (Waterloo) and an MSc in Biostatistics, and over nine years of experience spanning cancer genomics, medical imaging, survival analysis and deep learning. Zhongyuan teaches applied machine learning and survival analysis, contributes to hospital-affiliated research programs, and serves on the scientific program committee for CSSC 2025, reflecting active engagement in the statistical community. He has held leadership roles in student biostatistics organizations and editorial experience as a section editor, signaling both mentorship and scholarly communication skills. Notably, his background includes industry software development experience (Oracle) and cross-provincial lab collaborations, which inform a pragmatic, interdisciplinary approach to translational health research.
9 years of coding experience
1 year of employment as a software developer
High School Diploma, Science Track (Physics and Chemistry), High School Diploma, Science Track (Physics and Chemistry) at Nanjing Foreign Language School
Doctor of Philosophy - PhD, Biostatistics, Doctor of Philosophy - PhD, Biostatistics at University of Toronto
B.Math Honours, Computer Science, Statistics, B.Math Honours, Computer Science, Statistics at University of Waterloo
English, Chinese