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Philipp Städter

Doctoral student, Sub-group modeling member
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Curriculum vitae

Main Research Areas

  • Mathematic modelling of infections

Professional Career

  • since 2023 PhD in Bioinformatics at the Hans Knöll Institute
  • 2022 M.Sc. in Mathematics with a focus on Biomathematics and Biostatistics at the Technical University of Munich
  • 2018-2021 Student assistant at the Institute of Computational Biology at Helmholtz Munich
  • 2019 B.Sc. in Mathematics at the Technical University of Munich

Publications

2023-11-23

pyPESTO: a modular and scalable tool for parameter estimation for dynamic models

Schälte Y*, Fröhlich F*, Jost PJ*, Vanhoefer J*, Pathirana D, Stapor P, Lakrisenko P, Wang D, Raimúndez E, Merkt S, Schmiester L, Städter P, Grein S, Dudkin E, Doresic D, Weindl D, Hasenauer J#

Bioinformatics

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