Summary
Brian Groenke is a postdoctoral researcher and software engineer with 13 years of experience applying programming, Bayesian methods, and scientific machine learning to Earth system and climate problems. Currently at the Potsdam Institute for Climate Impact Research, he focuses on differentiable programming for Earth system modeling after a PhD quantifying permafrost uncertainty using numerical and inverse modeling techniques. He combines hands-on software design and applied ML with a strong grounding in Bayesian inference, having applied these methods to stochastic weather generation and permafrost modeling. Based in Potsdam, he blends academic rigor with practical engineering from prior industry roles in software development and data science, and is known for thinking deeply across science, code, and philosophy.
13 years of coding experience
9 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Colorado Boulder
Bachelor of Science (B.S.), Computer Science and Engineering, Bachelor of Science (B.S.), Computer Science and Engineering at The Ohio State University
English, German