Research output per year
Research output per year
Personal profile
Research Overview
Professor Tegnér is interested in decoding molecular circuits of living systems with special reference to collective dynamics of single cells and populations thereof. Our assumption is that adaptive molecular circuits in living systems hold secrets to new properties beyond what is readily apparent from the fundamental equations of matter.
Using T-cells, of fundamental importance for human health, as a model system, Professor Tegnér's team practices an integrative experimental and computational approach, guided by theory, asking:
what defines the identity of a cell?
what are rules and dynamical equations governing genomic and cellular circuits?
how are such circuits regulated and to what extent can they be reprogrammed?
Professor Tegnér and his team are intrigued by the fundamental challenge of discovering principles of natural adaptive computation, essentially protecting living organisms from lapse into atomic chaos. Such algorithms, inspired from living systems, could be harnessed in the design of novel technologies, innovations, medical applications, and ultimately in crafting general reasoning systems.
Key Research Areas
Epigenetics, Functional Biology, Genomics, Applied Mathematics and Computational Science, Computational Bioscience, Computer Science
Expertise related to UN Sustainable Devlopment Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education
Medicine, Ph.D., Karolinska Institutet
1997
Award Date: Jan 1 1997
Medicine, B.S., Karolinska Institutet
1990
Award Date: Jan 1 1990
Philosophy, B.A., Stockholm University
1990
Award Date: Jan 1 1990
Mathematics, B.S., Stockholm University
1988
Award Date: Jan 1 1988
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Publications
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Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces
Hernández-Orozco, S., Zenil, H., Riedel, J., Uccello, A., Kiani, N. A. & Tegner, J., Jan 25 2021, In: Frontiers in Artificial Intelligence. 3Research output: Contribution to journal › Article › peer-review
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A robust machine learning framework to identify signatures for frailty: a nested case-control study in four aging European cohorts
Gomez-Cabrero, D., initiative, O. B. O. T. FRAILOMIC., Walter, S., Abugessaisa, I., Miñambres-Herraiz, R., Palomares, L. B., Butcher, L., Erusalimsky, J. D., Garcia-Garcia, F. J., Carnicero, J., Hardman, T. C., Mischak, H., Zürbig, P., Hackl, M., Grillari, J., Fiorillo, E., Cucca, F., Cesari, M., Carrie, I., Colpo, M. & 17 others, , Feb 18 2021, In: GeroScience.Research output: Contribution to journal › Article › peer-review
6 Scopus citations -
Deep characterization of paired chromatin and transcriptomes in four immune cell types from multiple sclerosis patients
Fernandes, S. J., Ericsson, M., Khademi, M., Jagodic, M., Olsson, T., Gomez-Cabrero, D., Kockum, I. & Tegner, J., Oct 22 2021, In: Epigenomics.Research output: Contribution to journal › Article › peer-review
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DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation
Huang, J-H., Yang, C-H. H., Liu, F., Tian, M., Liu, Y-C., Wu, T-W., Lin, I-H., Wang, K., Morikawa, H., Chang, H., Tegner, J. & Worring, M., 2021, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEEResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
3 Scopus citations -
DeepViral: prediction of novel virus-host interactions from protein sequences and infectious disease phenotypes.
Liu-Wei, W., Kafkas, S., Chen, J., Dimonaco, N. J., Tegner, J. & Hoehndorf, R., Mar 8 2021, In: Bioinformatics (Oxford, England).Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
Elucidating the Role of Virulence Traits in the Survival of Pathogenic E. coli PI-7 Following Disinfection
Sivakumar, K., Lehmann, R., Rachmadi, A. T., Augsburger, N., Zaouri, N. A., Tegner, J. & Hong, P-Y., Jan 8 2021, In: Frontiers in Bioengineering and Biotechnology. 8Research output: Contribution to journal › Article › peer-review
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Estimations of Integrated Information Based on Algorithmic Complexity and Dynamic Querying
Hernández-Espinosa, A., Zenil, H., Kiani, N. A. & Tegner, J., Aug 22 2021, Handbook of Unconventional Computing. World Scientific, p. 171-219 49 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Gene Regulatory Network of Human GM-CSF-Secreting T Helper Cells
Elias, S., Schmidt, A., Gomez-Cabrero, D. & Tegner, J., Jul 3 2021, In: Journal of Immunology Research. 2021, p. 1-24 24 p.Research output: Contribution to journal › Article › peer-review
Prizes and Honors
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Co-Investigator on the ERC-Consolidator Grant
Tegner, Jesper (Recipient), 2013
Prize: Award or Honor › Awarded grant
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DREAM Network Inference Competition
Tegner, Jesper (Recipient), 2008
Prize: Award or Honor › Excellence Award
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Selected as an Alfred P Sloan Fellow (US)
Tegner, Jesper (Recipient), 1998
Prize: Award or Honor › Fellowship
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Vinnova Innovation Price for launching the most promising company of the year
Tegner, Jesper (Recipient), 2005
Prize: Award or Honor › Innovation Award
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Research News
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A healthy boost to precision medicine in KSA
Xin Gao, Pierre Magistretti, Stefan Arold & Jesper Tegner
02/2/21
1 item of Media coverage
Press/Media: Press / Media
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Artificial intelligence finds disease-related genes
02/13/20
1 item of Media coverage
Press/Media: Press / Media
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Researchers Aim to Create Universal Model of AI Based on Causal Disentanglement
02/20/19
1 item of Media coverage
Press/Media: Press / Media
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Causal disentanglement is the next frontier in AI
02/19/19 → 02/20/19
3 items of Media coverage
Press/Media: Press / Media
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OptiTrain - Optimal Training Women With Breast Cancer; OptiTrain
10/2/18
1 item of Media coverage
Press/Media: Press / Media
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Mechanism controlling multiple sclerosis risk identified
Jesper Tegner & David Gomez-Cabrero
06/19/18
1 item of Media coverage
Press/Media: Press / Media