Webpage: https://ki.se/en/people/yudi-pawitan

Yudi Pawitan earned his PhD in statistics from the University of California, Davis, in 1987. Since 2001, he has served as a professor of biostatistics at the Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. Throughout his career, he has contributed significantly to various statistical applications, ranging from time series analyses and medical imaging to high-throughput genetic and molecular data analysis, particularly in cancer research. He has published more than 200 peer-reviewed research papers, split about equally between methodology and applied publications. According to Google Scholars in May 2024: total number of citations ~25,300, h-index 68 and i10-index 184 (papers with at least 10 non-self itations). Furthermore, he is the author of two monographs including In All Likelihood (2001) and Philosophies, Puzzles and Paradoxes (2024), also a co-author of another book Generalized Linear Models with Random Effects (2017) together with Youngjo Lee and John Nelder, all covering statistics topics including likelihood-based statistical modelling and inference. He has supervised 17 postdocs, more than 25 PhD students (about 10 as main advisor). He was an Associate Editor for the Scandinavian Journal of Statistics and a Guest Editor for Breast Cancer Research series in genomic research and clinical applications.

Webpage: https://www.ed.ac.uk/profile/xia-shen

Xia Shen is a Full Professor at the School of Life Sciences, Fudan University, China, recognized for his expertise in statistical genetics and biostatistics. He earned his PhD in Bioinformatics from Uppsala University in 2012. Before joining Fudan University, he held several prestigious academic positions, including a professorship at Sun Yat-sen University, a tenured Chancellor's Fellow at the University of Edinburgh, and an assistant professorship at Karolinska Institutet. Dr. Shen has made substantial contributions to the development of innovative statistical methods in quantitative genetics and big data genomics. His work is published in top journals like Nature Genetics, Nature Communications, and Circulation. He has led significant international research projects, reflecting his global impact in the field. As of May 2024, Dr. Shen has authored over 130 publications, with approximately 5,400 citations, an h-index of 28, and an i10-index of 44, according to Google Scholar. These metrics underscore his influential role in advancing statistical genetics and biostatistics.