Software
I am lead- or co-developer of various open-source software tools, which can be found on GitHub and GitLab. These contain implementations of methods I develop. I aim to provide well-documented and tested tools that are easily accessible to non-expert users, but also modular, scalable and efficient.
Scientific Software
- pyABC Distributed likelihood-free inference using sequential approximate Bayesian computation (ABC)
- pyPESTO Parameter inference for especially ODE models, including optimization, sampling, and profiling approaches
- PEtab Community standard to specify parameter estimation problems
- AMICI ODE simulation and sensitivity analysis
- FitMultiCell Systematic inference for multi-scale multi-cellular models
- yaml2sbml Definition of ODE problems in YAML and conversion to SBML
Other Projects
- jabbar A little unicorn-friendly progress bar
- MiniPlaner A church service scheduling desktop app