Postdoctoral Researcher @ Fritz-Haber-Institut der Max-Planck-Gesellschaft,Theory Department
Research Topics: Interpretable Machine Learning for Feedstock Degradation Reaction Networks
Research Methods: Data Driven Modelling, Sparse Identification of Nonlinear Dynamics, Machine Learning
Scientific/Computational Background: Degree in Mathematics from Technical University Berlin.
Working experience as Java Software-Developer. PhD in Quantum Chemistry (Density Functional Development).