Fourth-year PhD student in the Department of Electrical and Computer Engineering at Johns Hopkins University
Research interests include Generative AI, Multi-modal Foundation Models (FM), and State-Space Models (e.g., Mamba)
Doctoral work lies at the intersection of (3D/4D) functional imaging, deep learning, computer vision, image processing, and analysis
Enthusiastic about leveraging structured state-space sequence models (e.g., Mamba) to learn long-context spatio-temporal representations in medical imaging video sequences, incorporating domain knowledge via FMs like BioMedCLIP
Interested in generative models for medical imaging, ML explainability, and high-dimensional representation learning for structural and functional brain connectomics