Björn Lütjens is a research scientist with nine years of experience applying machine learning to accelerate and make climate and weather models more trustworthy, currently working on emulating atmospheric dynamics at IBM Research. He earned his PhD at MIT, where he developed physics-informed neural operators and the first physically-consistent GANs for satellite imagery, and led teams creating graph neural networks for subseasonal forecasting and physics-informed surrogates for coastal flooding. Björn co-founded the ForestBench Consortium to benchmark ML for forest carbon estimation and has advised NASA’s Frontier Development Lab on physics-informed neural networks. His work blends rigorous theory, patent-pending multi-scale PDE solvers, and practical climate risk communication—demonstrating a rare mix of deep technical innovation and applied impact. Based in New York, he maintains an active research portfolio and public project pages documenting tools and publications that bridge ML and Earth system science.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS, Engineering Science - Robotics, Bachelor of Science - BS, Engineering Science - Robotics at Technical University of Munich
Exchange, Japanese Language and Business, Exchange, Japanese Language and Business at Keio University
Doctor of Philosophy - PhD, Aerospace Engineering with Major/Minor in Machine Learning and Earth System Modeling, Doctor of Philosophy - PhD, Aerospace Engineering with Major/Minor in Machine Learning and Earth System Modeling at Massachusetts Institute of Technology
Scholarship and Entrepreneurial Qualification Program, Scholarship and Entrepreneurial Qualification Program at Manage and More by UnternehmerTUM
Exchange, Statistics and Systems Engineering, Exchange, Statistics and Systems Engineering at Universidad Tecnica Federico Santa Maria
Bachelor of Engineering - BE (incomplete), Business Administration and Engineering - Electrical Engineering, Bachelor of Engineering - BE (incomplete), Business Administration and Engineering - Electrical Engineering at Cooperative State University Ravensburg
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