Torben Tiezema is an MSc student in Chemical Engineering at the Karlsruhe Institute of Technology. His research focuses on Bayesian optimization and data-driven strategies for chemical design, with an emphasis on constrained experimentation and scaling laboratory discoveries to industrial processes. For his master thesis at ICL, he is applying these methods to optimize catalyst compositions, building on industrial experience in laboratory automation, direct lithium extraction, and geothermal process optimization, and expertise in FAIR data management.