Carl-Magnus Svensson

Dr. Carl-Magnus Svensson

Angewandte Systembiologie · DropCode +49 3641 532-1088 carl-magnus.svensson@leibniz-hki.de

Curriculum vitae

Forschungsschwerpunkte
  • Signal- und Datenanalyse
  • Analyse medizinischer und mikroskopischer Bilddaten mit Ansätzen aus der digitalen Bildverarbeitung
  • statistische Modellierung und maschinelles Lernen
Wissenschaftlicher Werdegang
seit 2012 Wissenschaftlicher Mitarbeiter in der Gruppe Angewandte Systembiologie am Hans-Knöll-Institut
2011-2012 Wissenschaftlicher Mitarbeiter in der Gruppe Computational Neuroscience and Machine Learning am Frankfurt Institute for Advanced Studies (FIAS) in Frankfurt am Main
2009-2011 Wissenschaftlicher Mitarbeiter in der Gruppe Visual Neuroscience in der Fakultät für Psychologie an der Universität von Nottingham (GB)
2009 Dr. rer. nat. in Angewandter Mathematik an der Universität von Nottingham (GB)
2005 M.Sc. in Technischer Physik am Royal Institute of Technology in Stockholm (SWE)

Publikationen

Chamas A, Svensson CM, Maneira C, Sporniak M, Figge MT, Lackner G (2024) Engineering adhesion of the probiotic strain Escherichia coli nissle to the fungal pathogen Candida albicans. ACS Synth Biol ,
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Liu N, Sonawane M, Sommerfeld O, Svensson CM, Figge MT, Bauer Reinhard , Bischoff SJ, Bauer M, Osuchowski MF, Press AT# (2024) Metamizole outperforms meloxicam in sepsis: insights on analgesics, survival and immunomodulation in the peritoneal contamination and infection sepsis model. Front Immunol 15, 1432307.
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Moore J#, Kunis S, Grüning B, Blank-Burian M, Mallm JP, Stöter T, Zuschratter W, Figge MT, Kreshuk A, Tischer C, Haase R, Zobel T, Bauer P, Svensson CM, Gerst R, Hanne J, Schmidt C, Becker MM, Bocklitz T, Bumberger J, Chalopin C, Chen J, Czodrowski P, Dickscheid T, Fortmann-Grote C, Huisken J, Lohmann J, Schauss A, Baumann M, Beretta C, Burel JM, Heuveline C, Kuner R, Kuner T, Landwehr M, Leibfried A, Nitschke R, Mittal D, von Suchodoletz D, Valencia-Schneider M, Zentis P, Brilhaus D, Hartley M, Hülsmann B, Dunker S, Keppler A, Mathur A, Meesters C, Möbius W, Nahnsen S, Pfander C, Rehwald S, Serrano-Solano B, Vilardell Scholten L, Vogl R, Becks L, Ferrando-May E*#, Weidtkamp-Peters S*# (2024) NFDI4BIOIMAGE - National research data infrastructure for microscopy and bioimage analysis. Zenodo ,
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Walluks K*, Hoffmann B*, Svensson CM, Förster G, Müller AH, Jarvis J, Perkins J, Figge MTF#, Arnold D# (2024) Long‑term stimulation by implanted pacemaker enables non‑atrophic treatment of bilateral vocal fold paresis in a human‑like animal model. Sci Rep 14(1), 10440.
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González K*, Gangapurwala G*, Alex J*, Vollrath A, Cseresnyés Z, Weber C, Czaplewska JA, Hoeppener S, Svensson CM, Orasch T, Heinekamp T, Guerrero-Sánchez C, Figge MT, Schubert US, Brakhage AA (2023) Targeting of phagolysosomes containing conidia of the human pathogenic fungus Aspergillus fumigatus with polymeric particles. Appl Microbiol Biotechnol 107(2-3), 819-834.
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Praetorius JP, Walluks K, Svensson CM, Arnold D, Figge MT# (2023) IMFSegNet: Cost-effective and objective quantification of intramuscular fat in histological sections by deep learning. Comput Struct Biotechnol J 21, 3696-3704.
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Svensson CM*, Reglinski K*, Schliebs W, Erdmann R, Eggeling C#, Figge MT# (2023) Quantitative analysis of peroxisome tracks using a Hidden Markov Model. Sci Rep 13(1), 19694.
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Schmidt C*, Hanne J*, Moore J, Meesters C, Ferrando-May E, Weidtkamp-Peters S, members of the NFDI4BIOIMAGE initiative (incl. Svensson CM, Figge MT) (2022) Research data management for bioimaging: The 2021 NFDI4BIOIMAGE community survey. F1000Research 11, 638.
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Stanišić A, Svensson CM, Ettelt U, Kries H# (2022) Defining a nonribosomal specificity code for design. bioRxiv [Preprint]
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Campagner A, Ciucci D, Svensson CM, Figge MT, Cabitza F (2021) Ground truthing from multi-rater labeling with three-way decision and possibility theory. Inf Sci 545, 771-790.
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