About
Clinical AI Experience
Hands-on research across medical imaging and multimodal AI domains.
Endoscopy
Multimodal AI
Radiology
Pathology
Protein / BioML
Research Interests
- Medical Image Understanding — Endoscopy, radiology, and digital pathology
- Multimodal Learning — Integration of vision, language, and biological data
- Representation Learning — Self-supervised and transfer learning for clinical data
- Protein & Structural Biology — Emerging work at the intersection of AI and bioinformatics
Recent Blog Posts
- Future Blog Post(January 01, 2199)
- BatchNorm vs LayerNorm: Theory, Assumptions, and Dynamics(April 19, 2026)
- Blog Post number 4(August 14, 2015)
- Blog Post number 3(August 14, 2014)
- Blog Post number 2(August 14, 2013)
Current Research Directions
- Vision-language models for medical imaging
- Learning from limited clinical datasets
- Cross-modal learning between imaging and biological data