Research statement that summarizes my experience and vision!

Robust ML, Domain Generalization, Test-Time Adaptation, Few shot learning

Leveraging Vision/Language Foundational Models to Build Data-Efficient and Well Grounded AI Solutions

Uncertainty Quantification, Design Optimization and Failure Mode Characterization

Representation Learning, Predictive Modeling and Uncertainty Analysis of Graph Structured Data

Solving Inverse Imaging Problems with Generative Models and Advanced Model Priors

Tools/Techniques to Enable Explainability and Human-Centric Analysis of Deep Models

Diagnostic AI Tools for Healthcare Applications (Human Connectomes, Multimodal Imaging Data, Electronic Health Records)