Personal Statement
Yu Chen is a postdoctoral research associate at the Institute for Risk and Uncertainty, University of Liverpool, working at the intersection of uncertainty quantification and deep learning with a focus on probability bounds analysis.

Research Overview
His research is centred on the novel developments of two key aspects: (I) equipping DL models with uncertainty awareness, allowing for robustness; (II) incorporating DL with prior (physical) domain knowledge, allowing for fusion of knowledge, with applications in engineering risk management and optimisation under uncertainty. He had recently won the first prize in the prestigious NASA DNV UQ (uncertainty quantification) challenge 2025.