Healthcare AI & Medical Imaging
Developing machine learning and deep learning methods for medical image analysis, clinical decision support, and explainable healthcare AI.
My work in healthcare AI focuses on applying machine learning and deep learning to medical imaging and biomedical data, with an emphasis on clinically meaningful prediction, robust evaluation, and interpretable AI systems. I have worked on brain MRI classification, retinal image analysis, multimodal cardiovascular AI, and human in the loop medical imaging. My research interests include developing reliable AI methods for medical image understanding while considering data quality, patient level evaluation, model interpretability, and practical clinical use. This direction also provides a foundation for exploring computational neuroimaging and computational modeling of brain related processes through machine learning.