Author

Timo Rachel

University of FreiburgORCID 0009-0004-0790-2864Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Organism:mouse· 1 Approach:simulation· 1

Frequent Co-Authors

Clemens KreutziD· 2 shared Jens TimmeriD· 2 shared Moritz HessiD· 2 shared Tim LitwiniD· 2 shared Antonia Reimer‐TaschenbreckeriD· 1 shared Cristina HasiD· 1 shared Eva BrombacheriD· 1 shared Hanning YangiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 32 mutual co-author links

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2 shared papersSystems Biology

Clemens KreutzORCID

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3 papers

Recent·Most cited

Synthetic-data augmented calibration for expert-informed rare disease models

Hanning Yang, Timo Rachel, Tim Litwin, Meropi Karakioulaki, Antonia Reimer‐Taschenbrecker, Jens Timmer, Cristina Has, Harald Binder, Moritz Hess

This paper introduces a latent-space calibration method for rare disease ODE models using synthetic data, improving parameter recovery and trajectory prediction from sparse clinical observations.

bioRxiv · May 20, 2026 · PreprintBioinformatics

1100 Synthetic Benchmark Problems for Dynamic Modeling of Cellular Processes

Niklas Neubrand, Timo Rachel, Tim Litwin, Jens Timmer, Clemens Kreutz, Moritz Hess

The paper introduces 1100 synthetic benchmark problems for dynamic cellular process modeling to improve algorithm evaluation.

Bioinformatics Advances · Jan 1, 2026Peer-reviewedSystems Biology

Dynamic modelling of signalling pathways when ODEsare not feasible

Timo Rachel, Eva Brombacher, Svenja Wöhrle, Olaf Groß, Clemens Kreutz

The paper introduces an extended RTF method for modelling dose-dependent kinetics in cellular signalling, demonstrating its effectiveness using inflammasome activation data.

Bioinformatics · Nov 13, 2024Peer-reviewedSystems Biology