Methods Development

Analysis of large and complex datasets requires scalable and reproducible computational methods. We have a track record of developing computational tools, including the simulation engine AMICI [Fröhlich et. al 2021] and the calibration toolbox pyPESTO [Schälte et. al 2023], and strive to continue to push the envelope through methodological innovation.