Regular biography
Deyu Ming is a Lecturer in the Department of Business at University College London. Their research focuses on education, though specific details are not provided. Ming is affiliated with the UCL School of Management and holds an office in the Engineering Front Building, Room 4.01. Their personal website provides additional information about their work.
Scholar-generated biography
Deyu Ming is a researcher at University College London, specializing in uncertainty quantification (UQ), Gaussian processes, emulation, and statistics. Their work focuses on developing advanced statistical models for complex systems, particularly through deep Gaussian process emulation. Ming's research addresses challenges in imputation, sequential design, and modeling systems with sharp variations. They have contributed to the integration of multiple data streams and the development of scalable methods for simulators. Their publications highlight applications in environmental modeling, such as carbon cycle impacts and seismic source models. Ming's research bridges computational statistics and applied modeling, emphasizing robust and flexible approaches to uncertainty analysis.