PhD-trained AI scientist driving cutting-edge medical imaging and Physical AI research from conception to real-world clinical deployment, shaping AI strategy across imaging, embodied and physics-aware AI, foundation models, and multimodal healthcare systems.
- Define and own the long-term research vision for medical image analysis, Physical AI–enabled imaging systems, foundation models, and multimodal healthcare AI across clinical domains.
- Architect and lead the development of state-of-the-art detection, segmentation, classification, reconstruction, and quantitative imaging systems.
- Partner deeply with clinicians, radiologists, pathologists, imaging scientists, and regulatory stakeholders to formulate AI problem statements grounded in clinical workflows.
- Guide AI solutions through clinical validation, regulatory pathways, and real-world deployment.
- Act as a technical mentor and design reviewer for senior scientists, postdocs, and junior researchers.
- PhD in Computer Science
- PhD in Electrical Engineering
- PhD in Biomedical Engineering
- PhD in Applied Physics
- PhD in Robotics
