Conference presentations

Talks

Slides are posted where I have the rights to share them.

01

Talks

  1. Hierarchical Gaussian Process Landmarking and Cluster-Aware Metrics for Tooth-Level Survival

    Hanlong Chen, Malcolm Binns, Xinyang Feng, Aya Mitani

    Joint Statistical Meetings · Boston, MA · Aug 2026

  2. Landmark Models for Clustered Data to Account for Within-cluster Correlation of Units

    Hanlong Chen, Malcolm Binns, Aya Mitani

    Statistical Society of Canada Annual Meeting · Hamilton, ON · 2026

  3. Cognitive Profiles of People Living with Dementia: A PCA-Based Clustering Analysis

    Hanlong Chen, Bruna Seixas-Lima, Howard Chertkow, Malcolm Binns

    Statistical Society of Canada Annual Meeting · Saskatoon, SK · May 2025

    Presented in the Modern Approaches for Modelling High-Dimensional and Structured Data session.

    Slides (PDF) →

02

Posters

  1. Robust Deep Learning Classification of Rare Atypical Parkinsonism with Missing Clinical Data

    Hanlong Chen, Aditya Khan, Emmett Peng, Ian Zhang, Jun Young Park

    Statistical Society of Canada Annual Meeting · Case Study Competition · Hamilton, ON · 2026

  2. Cognitive Profiles of People Living with Dementia: A PCA-Based Clustering Analysis

    Hanlong Chen, Bruna Seixas-Lima, Howard Chertkow, Malcolm Binns

    Thirteenth Annual Canadian Statistics Student Conference · Saskatoon, SK · May 2025