Tiangang Cui

Tiangang Cui is an Associate Professor in the School of Mathematics and Statistics at The University of Sydney. Based in the Carslaw Building, Cui's research interests and teaching activities are reflected in their profile. They are involved in various academic programs and contribute to the academic community through publications and teaching. Their personal web page provides further details on their research and teaching schedule.

Tiangang Cui is a researcher at the University of Sydney with expertise in inverse problems, data assimilation, Markov Chain Monte Carlo (MCMC), and subsurface modeling. His work focuses on developing efficient and scalable methods for solving Bayesian inverse problems, particularly through likelihood-informed dimension reduction and low-rank approximations. Cui's research also explores data-driven model reduction, multifidelity importance sampling, and optimization-based sampling on function spaces. His publications address challenges in large-scale geothermal reservoir modeling and multiphase subsurface inverse problems, emphasizing the integration of probabilistic methods with computational techniques for improved accuracy and efficiency.