Charla Lu Chai
Affiliation: Anatomy & Development Biology Department, Monash Biomedicine Discovery Institute
Role: PhD student
Google Scholar: https://scholar.google.com/citations?user=AloFvnsAAAAJ&hl=en&oi=ao
Website: https://github.com/CharlaChai
Charla is a computational biologist in developing AI methods to predict relapse in early-stage colorectal cancer and identify clinically relevant biomarkers. Her research integrates whole-slide pathology images, multiplex immunofluorescence imaging, and clinical data using multimodal deep learning approaches. She is particularly interested in translating AI and computer vision techniques into tools that support precision oncology and clinical decision-making.
Interests
- Computational pathology
- AI for healthcare
- Digital pathology
- Computer vision
- Multimodal learning
- Graph neural networks
- Biomarker discovery
- Colorectal cancer
- Spatial biology
- Precision oncology.
Specialities
- Deep learning, machine learning
- computer vision
- whole-slide image analysis
- multiplex immunofluorescence (mIF) image analysis
- biomarker discovery
- image processing
- statistical modelling.