Conducting joint research with clinicians at JNCH Bhopal and AIIMS Bhopal on whole slide image analysis, building large-scale annotated datasets for Head & Neck Cancer with ongoing expansion to Breast, Lung, and Ovarian Cancer.

Developing an interpretable multi-agent learning framework for whole-slide histopathology where concept-specialized vision models collaboratively analyze multi-resolution tissue patches and flag uncertain cases for human review.

Building a scalable knowledge distillation and concept discovery pipeline integrating heterogeneous foundation models into compact, deployable systems.

Evaluated baseline models (UNet, LinkNet, UNet++) for gland segmentation in prostate histopathology images. Developed a dual uncertainty framework combining epistemic uncertainty via Monte Carlo Dropout with a novel aleatoric uncertainty approach using Gaussian noise injection into model logits.

Architected a Quantum Graph Neural Network leveraging Topological Data Analysis and Variational Quantum Circuits, demonstrating quantum advantage over classical GraphSAGE baselines on fraud detection tasks.

Working on large-scale multi-omics datasets (genomics and transcriptomics), building robust data preprocessing, QC, and analysis pipelines. Collaborating with product and research teams to apply ML and statistical methods for extracting actionable biological insights.