معرفی
Dr. John Maclean is a Lecturer in Data Science and Statistics at the University of Adelaide, affiliated with the School of Computer and Mathematical Sciences within the Faculty of Sciences, Engineering and Technology. His research focuses on Data Assimilation (DA) and Numerical Multiscale Methods, with particular interests in coherent structure DA, projected DA, non-Gaussian measurement error modeling, and surrogate-based DA techniques. He also explores projective integration and patch dynamics for stiff systems and spatially heterogeneous problems.
His work addresses challenges in combining uncertain model forecasts with data, accelerating simulations of complex systems, and designing efficient statistical surrogates. Notable contributions include methodologies for adaptive moving patches in multiscale simulations and theoretical insights into stochastic processes and uncertainty quantification.
Dr. Maclean is actively involved in supervising postgraduate research students and is open to mentoring those interested in his research areas. His publications span topics from data assimilation algorithms to environmental and computational modeling, reflecting his interdisciplinary approach to applied mathematics and computational science.
