Research interests includes data-intensive and translational bioinformatics with a particular focus on how modern e-infrastructures enables the studying of complex phenomena, and predictive modeling in pharmacology, toxicology, and metabolism.
Keywords: bioinformatics artificial intelligence machine learning pharmaceutical bioinformatics predictive modeling predictive toxicology predictive metabolism high-content imaging cell profiling cheminformatics
PhD in Bioinformatics from Uppsala University, 2009. Postdoctoral fellowships at Karolinska Institutet, Stockholm and Finnish Institute of Molecular Medicine (FIMM), Helsinki. Was co-director at the UPPMAX high performance computing center at Uppsala University (2010-2017), and headed the Bioinformatics Compute and Storage facility at Science for Life Laboratory in Sweden (2010-2017). Currently employed as Senior Lecturer at Department of Pharmaceutical Biosciences leading the research group in pharmaceutical bioinformatics. 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, toxicology and metabolism.
The Pharmaceutical Bioinformatics research group focuses on mathematical and statistical modeling, informatics and quantitative analysis of pharmacological systems. We develop methods, algorithms and software to study and model pharmaceutical interactions, and a key focus in the group is how predictive modeling, large-scale calculations and modern e-infrastructure (such as high-performance and cloud computing) can aid the drug discovery process; e.g. when studying drug toxicity, metabolism and resistance. We are involved in several national and international consortia and have a tight connection to the pharmaceutical industry, Uppsala University Hospital, and Science for Life Laboratory. See my research group website for more information ab
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