The Unit is a home for interdisciplinary (theory, experiments, computation) research where we develop, validate, and apply quantitative approaches on fundamental problems of living systems with application to the clinic and theory.

The Unit is ranked as outstanding (ERA 2012), production rate averaging 20 publications annually the last 5-10 years & founding of two BioIT companies. Extensive teaching (bioinformatics, network biology, systems medicine) – PhD courses, local/national, and international workshops & several international summer schools between 2002 and 2016 (now closed).

FOUR OPEN POSTDOC POSITIONS (1) Single Cell Genomics, Experimental (2) Stochastic 3D Modelling, Physics/Applied Math (3) Computational Biology, DataFusion (4) Epigenomics, Bioinformatics. Contact: jesper-dot-tegner-at-ki-dot-se

RESEARCH: On the theory side we develop new algorithms and machine intelligence approaches for essentially extracting the fundamental equations encoding causality directly from data (ERC consolidator, VR-NT). Fundamental work on algorithmic information theory (VR-NT Foass) and non-linear dynamical systems modelling aims at better tools for understanding and dealing, i.e. reprogramming and modelling, complex networks.  On the applied technological side we believe that evolved solutions in nature can provide insights on how to design new powerful intelligent hybrid computational systems.
                   To ground this work we perform molecular analysis of cells during health and disease, including a large number of clinical collaborations. Current major medical applications include Multiple Sclerosis with the CMM MS team (AZ-SciLife grant, Hjärnfonden, ALF, & H2020), Ageing & Frailty (FP7),  and Cancer Stem Cell biology with Gondor, Olsson et al (KAW 2018-2022) at KI.
                    In our work we mainly perform single cell genomics of cells, utilizing  cell culture experiments, (primary cells, clinical samples). Techniques include RNAseq, CyTOF, ATACseq, proteomics, and PCR. This data generation, in effect reading contextual parts of cells, is coupled with technologies for writing (perturbing) such as shRNAi, CRISPR/Cas9, in conjunction with live cell imaging for precision phenotyping. To make sense of massive parallell data we develop and use bioinformatics analysis, data-fusion techniques, mathematical modelling, theory, construction of data-bases, and design of software (R-scripts, GitHub, web-platforms).
STAFF (excluding other shared PhD students)

Imad Abugessaisa                         Assistant Professor (Associated)
Ranjita Dutta-Roy                          PhD student (associated)
Szabolcs Elias                                  PhD student
Sunjay Fernandes                          PhD student
David Gomez-Cabrero                Assistant Professor
Rubin Joshi                                        PhD student
Narsis Kiani                                       Assistant Professor
Peri Noori                                           Biomedical scientist, MSc, Lab Manager
Soudabeh Rad Pour                      PhD student
Angelika Schmidt                           Postdoc
Jesper Tegnér                                  Strategic Chaired Professor, Director twitter, linkedinKI
Hector Zenil                                      Assistant Professor   HZ

The Unit is one Division within Department of Medicine, Solna, Karolinska Institutet, Sweden
Tegner Group is in Center for Molecular Medicine and Science for Life Laboratory

Other affiliations with the Unit include
Living Systems Laboratory
Algorithmic Dynamics Lab
Translational Bioinformatics