Singapore, Singapore
I am an invited speaker at STACK Conference and Lorong AI, where I shared insights on the cybersecurity implications of AI-enabled products. These engagements reflect my active contribution to thought leadership at the intersection of emerging technologies and cybersecurity. Currently, I am a Cybersecurity Engineer at GovTech Singapore, where I lead deep technical research into the security risks posed by frontier technologies such as AI and Post-Quantum Cryptography (PQC). In this role, I also initiate and manage collaborations with research institutes to explore and co-develop AI-enabled security products. One of these projects was featured at STACK 2024 and has resulted in several publications — a testament to its real-world impact and technical novelty. My work includes evaluating Large Language Models (LLMs) across deployment models, authoring whitepapers on the bypassing of LLM guardrails, and analysing the resilience of lattice- and hash-based PQC algorithms to guide cryptographic transition strategies. These efforts directly inform national-level policy and technology planning. Previously, I worked as a cybersecurity data scientist focusing on Operational Technology (OT) systems. I partnered with engineers to design sensor data strategies, built pipelines for preprocessing, and collaborated with international ML researchers to develop models for anomaly detection and cyberattack monitoring in critical infrastructure. Earlier, I was a doctoral researcher in High Energy Physics, studying statistical deviations in particle production. My research at CERN led to multiple peer-reviewed publications and regular invitations to speak at international conferences. Before that, I served as a full-time military officer in the Singapore Artillery for seven years, holding the rank of Captain. Across all these roles, I’ve consistently demonstrated a commitment to continuous learning and a drive to tackle complex, cross-disciplinary challenges — especially those where data, security, and applied research converge.
Deep technical research into the cybersecurity implications of emerging technologies, applying analytical rigor to shape technical guidance. AI Security: - tested and evaluated risks associated with novel LLM deployment models with novel capabilities to inform risk assessment at the national level - authored a whitepaper detailing techniques for bypassing LLM guardrails and implications for safe deployment Post-Quantum Cryptography (PQC): - built foundational expertise in quantum-resistant cryptographic algorithms, with a focus on the mathematical underpinnings of lattice-and hash-based schemes. - produced two whitepapers translating complex theoretical insights into practical considerations for cryptographic migration strategies Talks: - Project TITAN: An Alternative to Rule-based SAST Scans@STACK 2024 - Project TITAN: From Conceptualisation to Implementation@Lorong AI
I read and review submitted papers for scientific rigour, soundness of argument and make an evaluation on whether the study in question contributes to the advancenemt of the field in any significant way on a voluntary basis.
- Modelling high-energy particle collisions using numerical statistical methods. - Mentoring of final-year undergraduate students - Teaching assistant with 2 publications in educational journals on philosophical thinking and pedagogy - Published on collaborative work done as part of an international team in statistical modelling
- GEH1027/GEK1508: Einstein's Universe and Quantum Weirdness - GEQ1000 Asking Questions