After receiving my bachelor's and master's degree in applied mathematics in 2011 and 2013 from Trier University (Germany), I started working as a scientific
assistant in the research group of Prof. Dr. Volker Schulz on PDE-Constrained Optimization at Trier University in 2013. Throughout this time, I was also pursuing my Ph.D. in the area of Modeling, Simulation and Optimization of Fermentation Processes. I successfully defended my doctoral thesis on Modeling, Simulation and Optimization of Wine Fermentation on February 1, 2018.
Subsequently, I joined the research group of Prof. Dr. Lorenz T. Biegler at Carnegie Mellon University in Pittsburgh, PA (USA) in March 2018. Here I mainly work on large-scale variance and parameter estimation for chemical processes in collaboration with The Dow Chemical Company.
- Modeling, simulation and optimization for chemical, biochemical and pharmaceutical processes with particular focus on:
- Algorithm and software development for variance and parameter estimation of reaction kinetics from spectroscopic data coming from chemical or pharmaceutical processes
- Mixed-effects models for kinetic parameter estimation
- Numerical analysis of systems of PDEs, PIDE/OIDEs and DAEs
- Robust optimization of biogas power plants
- Economic nonlinear model predictive control with parameter and state estimation for wine fermentation
- Numerical modeling and analysis of integro-differential equations, systems of weakly hyperbolic differential equations or respectively reaction-advection equations
- Population balance models