About CBB

Carsten Daub is an Associate Professor (“Docent” in the Swedish academic system) and group leader for the Clinical Transcriptomics research group at the Department of Biosciences and Nutrition at Karolinska Institutet. His bioinformatics expertise includes analysis of transcriptomics and epigenomics datasets, genome annotation and gene regulation.  Links:  https://www.daublab.org/

https://staff.ki.se/people/carsten-daub  

Hannes Hagström is a consultant in Hepatology at the Karolinska University Hospital. He is also an associate professor and group leader for Hannes Hagström group (https://ki.se/en/medh/hagstrom-group) at Karolinska Institutet. His research is focused on clinical and epidemiological studies of liver diseases. 

Davide is a PhD statistician with many years of experience in working with biological, epidemiological, genetic, and social data of different kind and in various contexts. During the last years his work has been focused on the analysis of immunological and survival data of patients after cell-therapy and allogeneic stem cell transplantation. His other main interest is education: teaching and mentoring students, and organizing seminars and workshops.

Ghada Nouairia is a computational biologist and a bioinformatician with experience in different computational methods (clustering, networks, phylogeny, etc.). She has also worked with a wide range of omics data including proteomics, transcriptomics, epigenomics and genomes.

Currently, her research is directed to clinical application for diagnosis and prognosis in oncology.

Henrike Häbel has a doctoral degree in mathematical statistics from Chalmers University of Technology and University of Gothenburg. Before joining Karolinska Institutet, she completed a post-doctoral fellowship at the Natural Resources Institute Finland. As part of the Medical Statistics Unit (Medstat), Department of Learning, Informatics, Management and Ethics (LIME) and the Centre for Bioinformatics and Biostatistics (CBB), Henrike mainly works with statistical consultation and teaching. Her main tasks include data management, survival and regression analysis in epidemiologic and population-based studies. Her research and teaching interests are in biostatistics, statistical epidemiology, spatial statistics and image analysis. Henrike has software experience in R, STATA, SAS and SPSS.

Laura is a biostatistician at the Karolinska University Hospital in Huddinge where her work involves data management, survival analysis and regression analysis of clinical trial data and register-based studies. She works mainly in R and Stata, but is also familiar with SPSS, GraphPad and Statistica. For CBB, Laura mentor several (medical) PhD students and teach in an upcoming biostatistics course. Laura has a doctoral degree in biomedicine from Uppsala University and a MSc and MEd (master in education at college level) from the University of Groningen, the Netherlands. 

My research focus is pharmacogenomic, i.e. study the impact of genetic variants on drug response. I work with variants data (particularly SNP data) a lot and have experience using bioinformatic tools to generate variant annotations, such as functional consequences, population-specific frequencies etc.