Research

Keywords: Medical image computing, Machine Learning, Robustness, Uncertainty, Human-machine collaboration, Medical ultrasound, MRI

My research centres on machine learning and computer vision approaches for medical data interpretation and analysis. We aim at 1. streamlining clinical workflows and improving patient outcomes with easy-to-deploy, robust, and trustworthy machine learning approaches; 2. enhancing human-machine collaborations in clinical settings through both novel algorithms and user studies; 3. accelerating medical science research, especially those involving imaging phenotypes, with machine learning approaches. Topics of our research include but are not limited to the following:

• Multimodal machine learning for healthcare data (e.g., image, signal, and language)
• Domain generalization and uncertainty modeling for easy-to-deploy and trustworthy machine learning
• Few-/zero-shot learning for improving data efficiency on long-tailed medical data
• Machine learning for medical scientific discoveries (e.g., cardiovascular science)
• Applications of the above learning approaches in addressing clinical and medical research challenges

Please find my Google scholar profile for a full list of past publications.