During his PhD, Ib Thorsgaard Jensen researched microbiome using statistical analysis. Microbiome data has challenging properties that makes statistical analysis difficult, and specialized modelling methodology is necessary. Ib Thorsgaard Jensen studied how different modelling choice impact the interpretation of the results and how correlations between the microbiome and other variables can be estimated. This research contributes to our current understanding of microbiomes by identifying methods most suitable to obtain useful biological insight.

The PhD study was completed at the Department of Molecular Biology and Genetics, Faculty of Natural Sciences, Aarhus University.

This summary was prepared by the PhD student.

Time: Friday, 6 October 2023 at 13:00
Place: Nucleus Auditorium (1871-120) (tentative), Department of Molecular Biology and Genetics, Aarhus University, Universitetsbyen 81, 8000, Aarhus C
Title of PhD thesis: Unlocking Microbial Insights: Statistical Analysis and Inference of Complex Microbiome Data

Contact information: Ib Thorsgaard Jensen, e-mail: ibstat@mbg.au.dk.

Members of the assessment committee:
Professor Mads Nielsen, Department of Computer Sciences, University of Copenhagen, Denmark

Professor Oliver Ebenhöh, Institute of Quantitative and Theoretical Biology, Heinrich Heine University Düsseldorf, Germany

Associate professor Pia Møller Martensen, Department of Molecular Biology and Genetics, Aarhus University, Denmark

Main supervisor:
Professor Simona Radutiou, Department of Molecular Biology and Genetics, Aarhus University, Denmark

Co-supervisor:
Professor Rasmus Plenge Waagepetersen, Department of Mathematical Sciences, Aalborg University, Denmark

Professor Luc Janss, Center of Quantitative Genetics and Genomics, Aarhus University, Denmark

Language: The PhD dissertation will be defended in English

The defence is public.

The PhD thesis is available for reading at the Graduate School of Natural Sciences/GSNS, Jens Baggesens Vej 53, building 5221, 8200 Aarhus N.