In the end, the inventor is still the hero and always will be
👋 Hi, I’m Zhuoran (Newt) Tan, a PhD researcher in Cybersecurity and AI at the University of Glasgow. With over seven years of research and development experience in the security industry, I work on system-level understanding and defense of semantic integrity violations in modern software and AI supply chains, focusing on how attacks propagate across time, dependencies, and execution boundaries—and how such propagation can be constrained by design.
🔍 Current Work:
- Supply Chain Vulnerability Detection and Causal Analysis
- AI Security & DevSecOps for Trustworthy ML Systems
- Temporal Graph Learning for Threat Attribution
- LLM Safety and Prompt Injection Defence
🤝 Collaboration:
I’m open to research and open-source collaborations in AI + Cybersecurity, especially in:
- Software Supply Chain Defence (Both Software and AI, MCP)
- Machine Learning Security
- Threat Intelligence and Graph-based Detection
🧠 Tech Stack:
Python · Go · Rust · PyTorch · TensorFlow
⚙️ Core Expertise:
Anomaly Detection · Graph Neural Networks · Threat Intelligence · Machine Learning Security · Distributed & Scalable Systems · Large Language Models · Graph Algorithms