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]bioquant.uni-heidelberg.de
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…