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 study the intersection of AI security, AI for security, and security for AI, focusing on supply chain security, threat intelligence, robust and trustworthy AI systems.
🔍 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
- 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