About the KI internal speakers

 

Juni Palmgren Professor, honorary doctor of medicine at KI.
Juni Palmgren's research interests cover likelihood and Bayesian inference for generalized linear models and time to event data, including causal models and inference, with applications to statistical epidemiology and statistical genetics. Most of her applied research focuses on cancer.

Marie Reilly Professor
Marie Reilly’s methodological work focuses on analysis of incomplete data and the related area of optimal design of epidemiological studies. Current work in this area includes methods for truncated/incomplete data in population registers (including family registers) and the re-use of data from case-control studies. She has collaborations in Infectious Diseases/Immunology research, including development of statistical methodology to analyze data from first and second generation peptide microarrays with applications in TB and HIV, studies of mother-to-child transmission of HIV (focusing on peptide responses from Elispot assays and Flow Cytometry data) and studies of maternal red blood cell antibodies. Applied work also includes collaborations with Transfusion Medicine colleagues in the study of transfusion safety: the effect of ABO-compatible but non-identical plasma, sex of donor, storage time of blood products and other factors on post-operative mortality. Statistical software deweloped by Marie Reilly can be found here and the software poplab.

Yudi Pawitan Professor
Yudi Pawitan works in statistical genetics, including analysis of family-based data, and in the development of statistical methods to analyse large datasets as currently generated in genomic studies, including SNP, CGH and RNA arrays, and protein spectra. Publications and other information can be found in his website (please find the link here).