Christoph Griehl

Christoph Griehl is a Doctoral Researcher at the Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg, Germany. His research focuses on applying Machine Learning and AI methods to Process Systems Engineering, particularly in multi-stage catalytic processes. He specializes in Bayesian optimization techniques for chemical and materials experimentation, with notable work on ligand discovery in homogeneous catalysis and low-throughput experimentation. He also contributed to an interactive app (AUTARKYO) for energy self-sufficient housing planning and metabolic modeling of microalgae for wastewater treatment.

His research interests span interdisciplinary areas including computational optimization, sustainable energy systems, and biotechnology. With 15 contributions in the last year, his work bridges theoretical algorithm development and practical industrial applications in catalysis and materials science.