Zijun Yu PhD · McGill

Curriculum Vitae

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Education

2025 – Present
Ph.D. in Mathematics and Statistics
McGill University, Montréal, QC
Research: Conformal Prediction, Survival Analysis, Deep Learning
2016 – 2020
B.Sc. Honours in Statistics and Computer Science
McGill University, Montréal, QC
First-Class Honours Degree

Awards & Scholarships

Publications

  1. Pengqi Liu†, Zijun Yu†, Mouloud Belbahri, Arthur Charpentier, Masoud Asgharian, Jesse C. Cresswell. "Beyond Procedure: Substantive Fairness in Conformal Prediction." International Conference on Machine Learning (ICML), 2026. arXiv ↗
  2. Yu Gu†, Zijun Yu†, Vahid Partovi Nia, Masoud Asgharian. "Pause and Reflect: Conformal Aggregation for Chain-of-Thought Reasoning." Under review, 2026. arXiv ↗
  3. Yu Gu†, Zijun Yu†, Chi-Kuang Yeh, Xinyu Wang, Ziyang Song. "Severity-Controlled Prediction Sets for Medication Recommendation." Under review, 2026.

† Equal contribution.

Work Experience

2025 – 2026
Student Researcher Mitacs Internship
Layer6 AI, Toronto
  • Conducted research on substantive fairness in conformal prediction, contributing to the paper "Beyond Procedure: Substantive Fairness in Conformal Prediction" (ICML 2026).
  • Designed and architected a modular codebase to support large-scale experiment pipelines, enabling reproducible benchmarking across multiple fairness criteria, datasets, and model families.
  • Collaborated with research scientists on theoretical analysis and empirical validation.
2020 – 2024
Software Developer
OneDesk Inc., Montréal
  • Incorporated data analysis and visualization capabilities into existing software solutions.
  • Implemented a Retrieval-Augmented Generation (RAG) chatbot workflow with web crawler, vector database, and OpenAI APIs.
  • Developed third-party integrations and plugins: Microsoft Teams, Google OAuth, WordPress, Stripe, and Intuit.
  • Applied time-series analysis to monitor system performance and identify trends in production logs.
  • Redesigned and refactored frontend and backend systems to eliminate memory leaks and data inconsistencies under race conditions.
  • Led a team of junior developers, providing mentorship and coordinating delivery across multiple projects.

Technical Skills

Languages Python, R, Java, TypeScript
Frameworks Spring, Maven, GraalVM, React, Deno, Astro, Svelte
Infrastructure PostgreSQL, Redis, Docker, Proxmox VE
Version Control Git, Subversion