I am a Computer Science Ph.D. student at Virginia Tech working at the intersection of machine learning and biology. My research spans computational pathology, single-cell and perturbation modeling, multimodal learning, and scientific AI agents.
Academic website · Google Scholar · ORCID · ResearchGate · LinkedIn
Patch-Level Tissue Context Improves Learning from Frozen Pathology Foundation Model Embeddings studies lightweight tissue-context fusion across frozen Prov-GigaPath, Virchow2, and DINOv2 embeddings.
Paper · Code · Project page
Stable-Shift: Predicting Transcriptional Responses of Unseen Gene Perturbations Using Graph Neural Networks with Biological Priors combines low-rank response programs with STRING interactions, expression features, graph structure, and Gene Ontology priors.
Paper · Preprint · Code · Project page
I am interested in cross-center pathology validation, tissue-neighborhood modeling, unseen-perturbation benchmarks, multimodal biological learning, and evidence-grounded scientific agents.