Building trustworthy AI for high-stakes decisions

Research with the TrustAI mandate

Trustworthy AI, from learning theories to embodied intelligence.

My research asks a practical question: how can an intelligent system stay dependable when its data are imperfect, its environment shifts, or an adversary actively tries to break it? I develop learning principles, evaluations, and defenses that make failure visible—and safety actionable.

I am an Associate Professor and PhD Supervisor at Fudan University. My primary career path includes a permanent lectureship at the University of Auckland and research appointments at RIKEN AIP, following a bachelor's degree from Shandong University and a PhD from the National University of Singapore. Complementary international experience includes research roles with NYU Abu Dhabi and KAUST, internships at IBM Research, Singapore and RIKEN AIP, part-time teaching at the University of Tokyo and Ochanomizu University, and undergraduate study at UCLA and the University of Cambridge.