Inference and Decision-Making in the Quantum-AI Era: An Algorithmic Intelligence Framework

Ying Chen is an Associate Professor in the Department of Mathematics at the National University of Singapore (NUS), where she serves as Director of the Centre for Quantitative Finance and Program Director of the NUS MQF and joint MQF–SJTU master’s programs. She is currently an Associate Editor of Management Science (Finance Department). Her research focuses on algorithmic intelligence at the intersection of AI, quantum computing, and optimization, with applications in finance, healthcare, and logistics. She is President of Society of Algorithmic Intelligence (2025-2027), a Council Member of the International Statistical Institute (2023–2027) and Chairperson (2025–2027) of the Asian Regional Section of the International Association for Statistical Computing. She maintains an active international presence through major conference organization and global academic collaborations. 

As we enter an era dominated by artificial intelligence and quantum computing, the role of applied math is more vital than ever — not only in making sense of data, but in shaping algorithms that drive intelligent decision-making under uncertainty. This talk presents a scientific lens on algorithmic intelligence, grounded in recent work on hybrid AI-quantum models, digital twins, and optimization in complex systems such as finance, healthcare, and logistics. I will share insights from applied collaborations involving AI-driven forecasting, reinforcement learning, and quantum circuit learning — highlighting how algorithmic intelligence thinking ensures robustness, interpretability, and transferability in modern learning systems.