Henning Bonart is an Athene Young Investigator and group leader at Technische Universität Darmstadt with a decade of experience in multiphase fluid dynamics, combining academic leadership with hands-on research. He holds a Dr.-Ing. with distinction and has held research positions and fellowships at MIT, the Max Planck Institute, and TU Berlin, reflecting a strong track record in international, interdisciplinary collaborations. His work integrates computational fluid dynamics, Bayesian inference, and physics-informed machine learning with novel experiments to control complex multiphase phenomena, and he currently leads an ETOS-funded project at NMF. Beyond research, Henning balances a busy academic career with family life as a father of three and pursues running, podcasts, and reading—an indication of disciplined curiosity that fuels both his scientific rigor and mentorship.
10 years of coding experience
13 years of employment as a software developer
B.Sc., Chemical Engineering, B.Sc., Chemical Engineering at Karlsruhe Institute of Technology (KIT)
Dr.-Ing., Fluid Process Engineering, Dr.-Ing., Fluid Process Engineering at Technische Universität Berlin
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