01
Medical Image & Video Understanding
Computer vision methods for medical images and videos, including segmentation, quantitative analysis, anatomical understanding, and surgical video analysis.
AI FOR SCIENCE
Research
I develop computer vision and multimodal AI methods for scientific and healthcare applications, with a focus on extracting meaningful information from complex visual data and translating it into reliable, interpretable, and useful outputs.
Research directions
02
Multimodal & Generative AI for Healthcare
Methods that combine visual, textual, quantitative, and structured medical information for grounded multimodal reasoning and generation.
03
AI for Clinical Assessment & Decision Support
AI systems that translate model predictions into interpretable, clinically meaningful information to support assessment, monitoring, and decision-making.
04
Reliable AI for Scientific Applications
Methods and evaluation strategies that improve grounding, factual consistency, robustness, and reliability in AI systems for scientific and healthcare settings.