Curriculum Vitae

My downloadable CV can be found here

Education

• MSc in Statistics, University of Toronto, 2026
• Honours BSc in Statistics/Mathematics, University of Toronto, 2025
  • Advisor: Jun Young Park
  • Graduated with high distinction
  • Relevant coursework: Machine learning, stochastic processes, statistical inference, multivariate methods, real analysis, linear algebra, ODE/PDE, programming

Publications and Preprints

†: Corresponding Author; *: Equal contribution

Preprints

1. Michael A. Kouritzin, Ian Zhang†, Jyoti Bhadana, Seoyeon Park (2024).
   Markov Processes for Enhanced Deepfake Generation and Detection
   arXiv:2411.07993

Experience

• Summer Research Trainee, McGill University (2025)
  Supervisor: Jianguo (Jeff) Xia

• Research Assistant, University of Alberta (2023–2024)
  Supervisor: Mike Kouritzin

Teaching

Teaching Assistant

• MAT137: Calculus with Proofs — TA, Fall 2025 & Winter 2026
• STA302: Methods of Data Analysis I — TA, Fall 2025
• STA437: Methods of Multivariate Data — TA, Winter 2026

Presentations

Talks

• SSC Annual Meeting in Saskatoon, 2025

  Presented Markov Processes for Enhanced Deepfake Generation and Detection in the Probability session

• Third Joint SIAM/CAIMS Annual Meeting, 2025

  Presented Markov Processes for Enhanced Deepfake Generation and Detection in the Machine Learning and Stochastic Processes session

Posters

• Thirteenth Annual Canadian Statistics Student Conference, 2025

  Presented *Comparing Exact and Approximate Inference for Spatial Autocorrelation Tests: A Power Analysis

Honours and Awards

• Anna & Alex Beverly Memorial Fellowship, 2025

  Awarded by University College (University of Toronto) for general proficiency during my undergraduate degree.

• NSERC USRA (x2), 2023 & 2024

  Awarded by the University of Alberta to research Markov process methods for deepfake generation and detection.

• Jack Zwaigenbaum Scholarship, 2025 Awarded by University College (University of Toronto) for academic excellence in my first year of undergraduate studies.

• Dean’s List Scholar (x4), 2022–2025

  Awarded by the Faculty of Arts and Science (University of Toronto) for maintaining academic excellence every year of my undergraduate degree.

Grants

• CSSC Travel Grant, 2025

  Awarded to full-time Canadian students presenting a poster or giving a talk at the Canadian Statistics Student Conference.

Service

• Session chair, Third Joint SIAM/CAIMS Annual Meeting, 2025

  Chaired the “Machine Learning and Stochastic Processes” session

Other

• Languages: English (native), Mandarin (native), Japanese (intermediate)
• Memberships: Statistical Society of Canada