(2023)
Surrogate infection model predicts optimal alveolar macrophage number for clearance of Aspergillus fumigatus infections.
NPJ Syst Biol Appl 9,
12.
Dr. Sandra Timme
Angewandte Systembiologie · FungiNet / JSMC +49 3641 532-1230 sandra.timme@leibniz-hki.deCurriculum vitae
Forschungsschwerpunkte
- Thema der Doktorarbeit: "Agentenbasierte Modellierung von räumlich-zeitlichen Interaktionen zwischen Immunzellen und human-pathogenen Pilzen"
- agentenbasierte Modellierung und Simulation von Wirt-Pathogen Interaktionen
- Interaktion von Immunzellen und Candida albicans im menschlichen Blut
- Migrationsdynamiken von Immunzellen in Folge von Pilzinfektionen
Wissenschaftlicher Werdegang
| seit 2018 | Wissenschaftliche Mitarbeiterin in der Gruppe Angewandte Systembiology am Hans-Knöll-Institut |
| 2018 | Dr. rer. nat. in Bioinformatik an der Friedrich-Schiller-Universität Jena |
| 2013 | M.Sc. in Bioinformatik an der Friedrich-Schiller-Universität Jena |
| 2011 | B.Sc. in Bioinformatik an der Friedrich-Schiller-Universität Jena |
Publikationen
(2022)
Acceptance of different self-sampling methods for semiweekly SARS-CoV-2 testing in asymptomatic children and childcare workers at German Day Care Centers: A nonrandomized controlled trial.
JAMA Netw Open 5(9),
e2231798.
(2022)
Feasibility of SARS-CoV-2 surveillance testing among children and childcare workers at German Day Care Centers: A nonrandomized controlled trial.
JAMA Netw Open 5(1),
e2142057.
(2021)
Ex vivo immune profiling in patient blood enables quantification of innate immune effector functions.
Sci Rep 11(1),
12039.
(2020)
Hybrid agent-based modeling of Aspergillus fumigatus infection to quantitatively investigate the role of Pores of Kohn in human alveoli.
Front Microbiol 11,
1951.
(2019)
Comparative assessment of aspergillosis by virtual infection modeling in murine and human lung.
Front Immunol 10,
142.
(2018)
Predictive virtual infection modeling of fungal immune evasion in human whole blood.
Front Immunol 9,
560.
(2018)
Quantitative simulations predict treatment strategies against fungal infections in virtual neutropenic patients.
Front Immunol 9,
667.
(2016)
Deciphering the counterplay of Aspergillus fumigatus infection and host inflammation by evolutionary games on graphs.
Sci Rep 6,
27807.
(2015)
Bottom-up modeling approach for the quantitative estimation of parameters in pathogen-host interactions.
Frontiers in Microbiology 6(608),
*authors contributed equally.