Research

Research Interests

AI in medicine and other fields, particularly ML and CV techniques applied on big data and images. 

• Anatomical modeling and automated image segmentation using active shape models and deep learning
• Disease diagnosis using deep learning and other ML methods
• Surgical robotics
• Transfer learning and fine tuning of foundation models
• Bioinformatics, EHR integration and real time predictive analytics
• Medical device research and development

Current Research

• Predicting autism from lung CT scans using deep learning
• Predicting atrial fibrillation from echocardiograms, also using deep learning
• Large-scale querying of EHR records for medical images and other data
• AI-based simulated data generation

Publications/Conference Proceedings/Patents