Profiles

Junshu Jiang is a Ph.D. candidate in Statistics in the Stochastic Processes and Mathematical Statistics (StochProc) research group at King Abdullah University of Science and Technology (KAUST), supervised by Prof. David Bolin. He obtained a B.S. in Biological Sciences from the South China Agricultural University (SCAU) in 2018, and an M.S. in Computer Engineering (in Artificial Intelligence) from the KU Leuven (KUL) university in 2022.

Junshu's research focuses on statistical modeling of financial extremes, stochastic volatility modeling, and causal discovery in extreme environments.

Paolo Redondo obtained his B.S. and M.S. degrees in Statistics from the University of the Philippines Diliman. He is a member of the Biostatistics and Extreme Statistics research groups.

Paolo's research focus on developing methodologies to characterize nonlinear dependence in brain networks and to understand the tail behavior of brain dynamics during abnormal events such as epileptic seizures.

Xiaotian Jin is a Ph.D. candidate in Statistics at King Abdullah University of Science and Technology (KAUST), working under the supervision of Professor David Bolin. He received his B.S. degree in computer science from Wenzhou-Kean University, China, in 2020 and his M.S. degree in Statistics from KAUST in 2021.

Xiaotian’s research focuses on the intersection of computational statistics, geostatistics theory. He specializes in developing unified, computationally efficient frameworks for modeling non-Gaussian data, addressing the limitations of traditional Gaussian-based systems in capturing complex, real-world data characteristics.

His work spans the mathematical analysis of convergence properties in sampling algorithms, the design of hierarchical spatio-temporal models, and the application of these methods to high-dimensional environmental datasets, such as global oceanographic profiles.