Cong Cong (Thomas)
Postdoctoral Fellow,
Australian Institute of Health Innovation,
Centre for Health Informatics,
Macquarie University, Sydney
My research focuses on developing reliable and scalable AI systems for medical imaging, spanning computational pathology, federated learning, and visual model adaptation. Recent main research topics include:
Digital Pathology
Whole-slide image analysis
Stain normalisation
Computational neuro-oncology
Federated Learning
Privacy-preserving learning
Domain generalisation
Dataset distillation
Medical Image Analysis
Image classification
Class imbalance learning
Semi-supervised methods
Generative Models
Stain transfer GANs
Diffusion for MRI-to-PET
Data augmentation
Efficient Adaptation
Visual prompt tuning
Feature prompting
Foundation model adaptation
News
Background
Education
- 2020 – 2024PhD, Computer Science, UNSW Sydney
- 2018 – 2019MSc, Information Technology, UNSW Sydney
Experience
- 2024 –Postdoctoral Fellow, Macquarie University
- 2023Tutor, UNSW Sydney
- 2019Teaching Assistant, CMU
Awards
- 2025Macquarie Minds & Intelligences Initiative Early Career Researcher Grant
- 2023Norman Foo Memorial Best Research Paper Prize, UNSW
- 2023Reviewer of the Month, Journal of Medical Artificial Intelligence
Selected Publications
Full list on Google Scholar
Open-Source Code
Selected repositories on GitHub
Professional Services
Conference Reviewer
CVPR, ICLR, ICCV, ICML, NeurIPS, AAAI, MICCAI, ISBI
Journal Reviewer
Medical Image Analysis, IEEE Transactions on Medical Imaging, npj Digital Medicine, Nature Communications, Nature Communications Medicine, IEEE Journal of Biomedical and Health Informatics, Neural Networks
Contact
Email: thomas.cong@mq.edu.au
Location: Sydney, NSW, Australia
ORCID: 0000-0002-8192-6731