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Georg Fuellen, University of Rostock, Germany, 

Bioinformatics in Ageing Research                                                

Georg is interested in biomedical data analyses of processes related to health and aging, inclucing senescence, fibrosis, inflammation and proliferation, based on high-throughput and other laboratory data. Neurodegeneration and cancer, and developmental origins of health and disease are also of interest. An emerging topic are biomarkers for the effects of senolysis

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Jonathan Robinson, Chalmers University, Sweden

Jonathan works in the area of systems biology and bioinformatics, seeking to understand human health and disease from an engineering perspective. Specifically, he is investigating the molecular properties of cancer cells, focusing on changes in metabolic and protein secretory processes that are associated with key clinical features, such as disease severity or treatment response

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Arne Elofsson, SciLifeLab/Stockholm University, Sweden

Using deep learning and direct coupling analysis for protein
structure prediction

Protein structure prediction is a classical unsolved problem in 
bioinformatics. In recent years, by predicting contacts between
residues in a protein, significant progress has been achieved. These contacts are predicted by using a combination of correlated mutations from large scale multiple sequence alignments and deep learning.

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Ola Spjuth, Bioinformatics; Department of Pharmaceutical Biosciences, UU, Sweden

Towards intelligent drug discovery safety 

Main research interests are in data-intensive bioinformatics and how automated high-throughput and high-content molecular and cell profiling technologies coupled with AI and predictive modeling on modern e-infrastructures can enable us to study complex phenomena in pharmacology and toxicology.
Website: https://pharmb.io

Anne-Laure Boulesteix, Institute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Germany.

A plea against fishing for significance and for open science with focus on omics data analysis

Bild på keynote speakerAnne-Laure is Professor of Biometry in Molecular Medicine at the Institute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Germany. Anne-Laure is a biostatistician working at the interface to bioinformatics and molecular medicine, with a focus on statistical methods for the analysis of high-dimensional data, especially prediction modelling with omics data. She is also active in the field of meta-research as board member of the Open Science Center of the University of Munich and member of the STRATOS initiative that aims at providing accessible and accurate guidance in the design and analysis of observational studies. Within meta-science, her particular topics of interest are the design of reliable comparison studies of data analysis methods and good practice issues related to data dredging.

Fredrik Boulund, Center for Translational Microbiome Research, SciLifeLab, Stockholm, Sweden

Analyzing human microbiomes at the Center for Translational Microbiome Research

The Center for Translational Microbiome Research (CTMR) at Karolinska Insitutet aims to better understand the contribution of the human microbiome to physiology and pathophysiology, with the goal to open opportunities for development of novel therapies in the area of gastroenterology, reproductive health, and neonatology. Fredrik Boulund is currently the Head of Bioinformatics at CTMR, originally coming from a biotechnology/bioengineering background with a PhD in bioscience from Chalmers University of Technology, where his research focused on the detection of novel antibiotic resistance genes in large-scale metagenomic data, as well as linical diagnostics using bottom-up tandem mass-spectrometry. Fun trivia: Fredrik Boulund lead the organization of the Swedish Bioinformatics Workshop in 2014.