(2023)
Surrogate infection model predicts optimal alveolar macrophage number for clearance of Aspergillus fumigatus infections.
NPJ Syst Biol Appl 9,
12.
Curriculum vitae
Main Research Areas
- Topic of the PhD thesis: "Agent-based modelling of the spatio-temporal interaction between immune cells and human-pathogenic fungi"
- agent-based modelling and simulation of host-pathogen interactions
- interaction of immune cells and Candida albicans in human blood
- migration dynamics of immune cells as a consequence of fungal infections
Professional Career
| since 2018 | Postdoctoral researcher in the group Applied Systems Biology at Hans Knöll Institute |
| 2018 | PhD in Bioinformatics at the Friedrich Schiller University Jena |
| 2013 | M.Sc. in Bioinformatics at the Friedrich Schiller University Jena |
| 2011 | B.Sc. in Bioinformatics at the Friedrich Schiller University Jena |
Publications
(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.