Kevin Siswandi

Project: Predicting the dynamics of biochemical systems from time-series data with machine learning and multistep methods

BQ47, BioQuant
Im Neuenheimer Feld 267
69120 Heidelberg, Germany
Room number: 541

Email: kevin.siswandi[at]
Phone: +49-(0)6221-5451353

I develop data-driven methods for dynamic modeling in systems biology by marrying machine learning with numerics, using open-source tools such as:

  • TensorFlow
  • NodePy (I am a contributor!)
  • scikit-learn
  • SciPy
  • TPOT
  • Pandas
  • Matplotlib
  • and so on…