About
CS / AI Engineer · Computational Biology · Boston, MA
I'm a software engineer and AI researcher working at the intersection of graph neural networks, single-cell biology, and ecological systems.
My work is grounded in the AI Virtual Cell (AIVC) framework — the vision that multi-scale neural models can represent and simulate biological behavior from protein mutations to tumor immune microenvironments to entire ecosystems.
I approach biology as an engineer: learning on demand, anchored to implementation, building tools that make biological complexity legible to computation.
Beyond the lab, I'm building a smart greenhouse as a first tangible step toward computational ecology, and exploring how traditional herbal knowledge can be formalized through the lens of modern perturbation biology.
Pan-cancer extension of TME-VI — zero-shot transfer to NSCLC using CELLxGENE Census (GSE176021).
CellScout multi-agent RAG system for AIVC literature — knowledge graph + cross-paper synthesis.
Eco-Vault smart greenhouse — Raspberry Pi sensor stack, AnnData time-series pipeline.
Computational herbology pipeline — field collection to Virtual Cell perturbation prediction.