Ganlin Feng Picture

Ganlin (Kathy) Feng

PhD student in Computer Science at Western University

About

I am a PhD student in Computer Science at Western University, supervised by Dr. Pingzhao Hu. My research lies at the intersection of machine learning, computer vision, and biomedical applications, with a focus on data-efficient and interpretable AI systems for rare disease diagnosis, medical imaging, and multimodal clinical decision support. Before joining Western University, I received my Bachelor of Computer Science degree at 2024 from the University of Waterloo.

AI4Health Computer Vision Multimodal Large Language Models Agentic AI Medical Imaging Synthetic Data Human-Centered AI

Selected Publications

CVPR

RDFace: A Benchmark Dataset for Rare Disease Facial Image Analysis under Extreme Data Scarcity and Phenotype-Aware Synthetic Generation

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 · Highlight

G. Feng, Y. Long, H. M. Ali, E. L. Lou, F. R. Butt, Q. Liu, Y. Wang, and P. Hu.
A benchmark dataset and evaluation framework for rare disease facial image analysis under extreme data scarcity, with phenotype-aware synthetic generation and reproducible evaluation.

CVPR

RADx: Hand X-Ray Rheumatoid Arthritis Severity Assessment Tool

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 · Demo Track

G. Feng, Y. Long, A. Liu, L. J. O’Neil, C. A. Hitchon, and P. Hu.
An AI-driven web system for rheumatoid arthritis severity assessment from hand X-rays, integrating joint detection, damage scoring, report generation and an interactive clinical interface.

CVPR

Synthetic Data Alone is Enough? Rethinking Data Scarcity in Pediatric Rare Disease Recognition

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 · Workshop

G. Feng, Y. Long, E. L. Lou, L. Chen, Z. Jing, P. Hu, and W. Xu.
A study for the synthetic-only regime of pediatric rare disease recognition using facial images under extreme data scarcity.

Research Experience

T-CAIREM Trainee Rounds Competition

2026 · Toronto, Canada

Conducted research in medical AI and healthcare data analysis, prepared a 30-minute research presentation, and engaged with interdisciplinary researchers through adjudicated evaluation by an expert panel.

Parkinson’s Case Study Competition

2026 · Hamilton, Canada

Developed machine learning models to classify Parkinson’s disease versus atypical parkinsonism using real-world clinical data from the Canadian Open Parkinson Network, and explored agentic AI for clinician-facing report generation.

Honors & Awards

IEEE/CVF CVPR 2026 Broadening Participation Scholarships

2026 · IEEE/CVF Conference on Computer Vision and Pattern Recognition

IEEE/CVF CVPR 2026 Travel Stipend Award

2026 · IEEE/CVF Conference on Computer Vision and Pattern Recognition

Western Graduate Research Scholarship

2024 – Present · Western University

Dean's Honors

2024 · University of Waterloo

Teaching & Work Experience

Graduate Research Assistant

2024 – Present · Western University

Conduct research in medical AI, computer vision, large language models, and agentic AI for healthcare applications.

Graduate Teaching Assistant

2024 – Present · Western University

Assist course teaching, student support, assignment grading, and course logistics for undergraduate computer science courses.