Hello! I am a Research Fellow at Singapore Institute of Technology (SIT), working on adversarial machine learning, AI safety, robustness evaluation, and reliable multimodal AI systems. As part of the Robust AI Grand Challenge supported by AI Singapore, my research focuses on developing methods to stress-test, attack, evaluate, and improve machine learning models under adversarial perturbations, distribution shifts, and real-world deployment constraints. I am particularly interested in robust computer vision, safety-critical perception, autonomous driving, and trustworthy foundation models.

I received my Ph.D. in Computer Science from Nanyang Technological University (NTU), Singapore, and previously held research roles as a Senior Scientist at A*STAR, a Research Fellow at the National University of Singapore, and a Research Associate at Imperial College London.

I am currently open to research collaborations, postdoctoral and faculty opportunities, AI safety roles, and industry research positions related to adversarial machine learning, robust AI, computer vision, and trustworthy multimodal systems. Please feel free to reach out via email or explore my publications on Google Scholar.