(2023)
Surrogate infection model predicts optimal alveolar macrophage number for clearance of Aspergillus fumigatus infections.
NPJ Syst Biol Appl 9,
12.

Paul Rudolph
Angewandte Systembiologie · FungiNet / JSMC +49 3641 532-1079 paul.rudolph@leibniz-hki.deCurriculum vitae
Forschungsschwerpunkte
- Mathematische Modellierung des Immunsystems
Wissenschaftlicher Werdegang
Seit 2020 | Doktorand im Fach Bioinformatik am Hans-Knöll-Institut |
2019 | M.Sc. in Computational and Data Science an der Friedrich-Schiller-Universität |
2014-2016 | IT-Consultant bei ATOS SE in Tübingen |
2014 | B.Eng. in Informationstechnik an der Dualen Hochschule Baden-Württemberg |
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.