Clint Chin Pang Ho received a BS in Applied Mathematics from the University of California, Los Angeles (UCLA), an MSc in Mathematical Modeling and Scientific Computing from the University of Oxford, and a PhD in computational optimization from Imperial College London. Before joining CityU, Clint was a Junior Research Fellow (now known as Imperial College Research Fellow) in the Imperial College Business School.
Clint's current research focuses on decision making under uncertainty. He studies optimization algorithms and computational methods for structured problems, as well as their applications in machine learning and operations research.
- Decision Making under Uncertainty
- Robust Optimization
- Reinforcement learning
- Operations Research