Profiles

Alumni

Biography

Małgorzata Forystek is a Statistics Master's student at the Bayesian Computational Statistics & Modeling research group  (BAYESCOMP) under the supervision of Professor Håvard Rue. She received her B.Sc. degree in Applied Mathematics from AGH University of Science and Technology in Kraków, Poland, in 2023.

Research Interests

Her research interest is mainly in Bayesian and computational Statistics and Data Science.

Education
Bachelor of Science (B.S.)
Applied Mathematics, AGH University of Science and Technology, Poland, 2023
Biography

Sihan Chen joined the PhD program in Statistics at King Abdullah University of Science and Technology (KAUST) in 2021, under the supervision of Prof. Marc G. Genton. Prior to that, he received his Bachelor’s and Master’s degrees from The Chinese University of Hong Kong. Sihan's doctoral research focused on developing robust and scalable statistical methods for spatial data analysis. His research interests include spatial statistics, robust estimation, high-performance computing, and applied data science.

Biography

Zipei Geng completed his undergraduate education in 2019 with a Bachelor of Science in Statistics from Shandong University, alongside a dual Bachelor of Science with Honours in Statistics from The University of Manchester. He subsequently pursued a Master of Science in Statistics at ETH Zurich (Eidgenoessische Technische Hochschule Zuerich) from 2019 to 2022, where his studies concentrated on variable selection and high-dimensional statistics. Currently, he is pursuing his doctoral studies as a PhD candidate in Statistics at King Abdullah University of Science and Technology, working under the guidance of Prof. Marc G. Genton.

Education
Bachelor of Science (B.S.)
Statistics, Shandong University, China, 2019
Bachelor of Science (B.S.)
Statistics, The University of Manchester, United Kingdom, 2019
Master of Science (M.S.)
Statistics, ETH Zurich (Eidgenoessische Technische Hochschule Zuerich), Switzerland, 2022

Former Members

Biography

Janet van Niekerk is a Research Scientist in the Bayesian Computational Statistics and Modeling group. She works on Bayesian methods including prior construction and computational framework development for various applications, with a focus on Biostatistics.

Research Interests

Efficient Bayesian methods for practical implementation, statistics for medical applications, complex survival analysis, INLA.

Education
Master of Science (M.S.)
Mathematical Statistics, University of Pretoria, South Africa, 2014
Doctor of Philosophy (Ph.D.)
Mathematical Statistics, University of Pretoria, South Africa, 2017