Yanuo Zhou

Hi! I’m Yanuo (Arnold) Zhou (周亚诺), a Researcher and ML Engineer building multi-agent systems and AI applications for health and biomedicine. I hold an MSc in Precision Health and Medicine from the National University of Singapore.

I am actively seeking PhD opportunities to advance AI-driven innovations in biomedicine and precision health.

Research Interests

• AI Agents & LLM Applications: Multi-agent orchestration with LangGraph and GraphRAG for autonomous scientific workflows, knowledge synthesis, and literature review.
• AI for Health (AI4Health): Applying machine learning to healthcare challenges, from digital phenotyping to drug discovery and precision medicine.
• Digital Phenotyping & Wearable Sensing: ML models for continuous health monitoring, circadian rhythm analysis, and behavioral pattern recognition from wearable and smartphone sensors.
• Bioinformatics & Multi-Omics: Multi-evidence integration of transcriptomics and metabolomics for biosynthetic pathway gene discovery; RNA-seq biomarker identification.
• AI-Driven Drug Discovery (AIDD): Multi-architecture GNN benchmarking for drug-disease link prediction and repurposing using biomedical knowledge graphs.
• Biomedical Signal Processing: Real-time physiological signal analysis (ECG, EEG) with embedded systems and sensor fusion.

Current Work

• LitScribe - Academic Synthesis Engine (2026-present): 7-agent LangGraph system with GraphRAG for autonomous literature review. Produces 24-paper reviews with 100% citation grounding in 15 min at $0.098. 272 tests, multi-language support, 5 citation styles.
• PrimeKG GNN Drug Discovery (2025-present): 6-architecture GNN benchmark (GAT, RGCN, GIN, GraphSAGE, GCN, MLP) on PrimeKG. V2.0 with data leakage fix (71.5%→0%), GAT best at 0.9866 AUC-ROC under strict hard-negative evaluation.
• Multi-Omics AE-GNN (2025-present): 5-stage pipeline for biosynthetic pathway gene discovery. Dual autoencoders (545M params) + GAT with multi-evidence ranking across 132K genes × 7K metabolites.
• Multimodal Depression Detection (2025): Behavioral biomarker discovery from smartphone sensors (GPS, app usage, communication, activity). 76.2% AUC-ROC identifying digital phenotypes for mental health.

Key Technical Skills

• AI/ML: PyTorch • PyTorch Geometric • scikit-learn • GNN (GAT, RGCN, GIN) • CNN (U-Net) • VAE • Transformers
• AI Agents: LangGraph • GraphRAG • sentence-transformers • asyncio • Qwen/Claude/DeepSeek
• Bioinformatics: RNA-seq • Knowledge Graphs (PrimeKG) • Multi-Omics Integration • KEGG Enrichment
• Signal Processing: Wearable Sensors • ECG/EEG • Multi-sensor Fusion • Real-time Processing
• Reproducibility: Git • Docker • YAML Config Pipelines • HPC • Audit-ready Workflows

Selected Awards

• 🏆 PRECISE Scholarship, National University of Singapore (2023)
• 🥉 3rd Prize, 10th National Student Optoelectronic Design Competition (2022)
• 🥈 2nd Prize, 8th National Student Optoelectronic Design Competition (2020)
• 🥈 Silver Award, 12th “Challenge Cup” Jiangxi Student Entrepreneurship Competition (2020)

Get in Touch

Feel free to reach out via email at yanuo.zhou@outlook.com or connect with me on GitHub @arnold117.