Research
Research Interests
Graph Signal Processing
Leveraging graph-based methods for spatial transcriptomics analysis, developing novel algorithms for understanding cellular networks.
Foundation Models
Developing and applying multiplexed foundation models for few-shot and zero-shot learning in biological contexts.
Spatial Omics
Creating computational tools to study cell-cell communication and tissue architecture using cutting-edge spatial technologies.
Immuno-Oncology
Utilizing spatial transcriptomics for insights into tumor-immune interactions and therapeutic target identification.
Gene Regulatory Networks
Advancing methodologies to decode gene regulation and understand complex biological systems.
AI for Science
Developing agentic workflows to accelerate hypothesis generation, experiment design, and analysis across biomedical research.
Topic Map
A live view of recurring themes across my publications. Click any term to see the papers that mention it.
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