I am a Pharmacy and Computer Science undergraduate at Wuhan University. My research lies at the intersection of computational biology, synthetic biology, and natural-product discovery. I work on large-scale viral functional genomics, AI-guided enzyme discovery, and auditable AI systems for biological simulation. I also have hands-on experience in fungal co-culture, chromatographic purification, and metabolite characterization.

I am especially interested in computational methods that do more than produce predictions: methods that make biological assumptions explicit, prioritize experimentally testable candidates, and support reproducible scientific workflows. Across projects, I combine large-scale biological data, protein and genome representations, machine learning, and mechanistic reasoning to turn complex biological questions into actionable hypotheses.

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AI4B: AI Agents for breeding program optimization. Jul 2026 – Present

BreedSimBench: a literature-derived benchmark of breeding-program simulation decisions. Jul 2026 – Present

V-Geptop: an evolution-aware framework combining RBH-based orthology, OrthoDB-scale annotation, and sequence-derived features to predict essential genes across 7,962 viral genomes. Ongoing · Project Lead

SARS-CoV-2 Spike RBD: a dry-wet workflow linking variant design, predictive modeling, protein expression, and host-interaction analysis. Ongoing · Project Lead

Fungal secondary metabolites: co-culture activation of silent biosynthetic pathways in a cicada egg-derived Fusarium graminearum strain. Mar 2024 – Dec 2025 · Second Responsible Person

IELTS 7.0 · CET-6 619