Research

Publications and preprints

† Corresponding author. * Equal contribution.

Published

1. Michael A. Kouritzin, Ian Zhang†, Jyoti Bhadana, Seoyeon Park. Markov processes for enhanced deepfake generation and detection. AIMS Mathematics, 2026, 11(4), 11731–11759. doi:10.3934/math.2026483

In progress

1. Aditya Khan, Ian Zhang. Parametric Hotspot Analysis with the Getis-Ord Statistic. 2025.
2. Hanlong Chen*, Ian Zhang*, …, Howard Chertkow, …, Malcolm Binns. Reproducible Dementia Subtyping through Cross-Validated Joint Hyperparameter Optimization of PCA dimensionality and k in Unsupervised Clustering. 2026.
3. Ian Zhang, Thibault Randrianarisoa. Likelihood tempering to mitigate prior dominance in variational posteriors for Bayesian neural networks. 2026.

Presentations

Conference talks

• RAMA: Redundancy-Aware Model Assessment for PCA-Based Clinical Subtype Discovery. 2026 Joint Statistical Meetings, Boston, MA. (upcoming, August 2026)
• Likelihood tempering to mitigate prior dominance in variational inference for Bayesian neural networks. 2026 SSC Annual Meeting, Hamilton, ON.
• Markov Processes for Enhanced Deepfake Generation and Detection. 2025 SSC Annual Meeting, Saskatoon, SK. Probability session.
• Markov Processes for Enhanced Deepfake Generation and Detection. Third Joint SIAM/CAIMS Annual Meetings, 2025. Machine Learning and Stochastic Processes session.

Posters

• Comparing Exact and Approximate Inference for Spatial Autocorrelation Tests: A Power Analysis. Thirteenth Annual Canadian Statistics Student Conference, 2025.