Summary
Konstantin Klemmer is a Principal AI Research Engineer with nine years of experience modeling urban and planetary dynamics using neural networks at the intersection of machine learning, geospatial data science, and statistics. He builds applied ML tools for climate and urban planning problems, translating academic research into deployable systems through roles at Microsoft Research and now LGND AI. His background spans a PhD in Urban Science/Data Science, postdoctoral fellowships, and hands-on work in industry and startups, giving him a rare blend of theoretical rigor and product-minded pragmatism. Konstantin’s work emphasizes improving neural nets for geographic data—tackling challenges like spatial generalization and real-world deployment constraints. Based in Seattle, he pairs strong quantitative training with experience in communications and stakeholder-facing roles, enabling him to bridge technical teams and policy-relevant applications.
9 years of coding experience
6 years of employment as a software developer
Master of Science (MSc) with Distinction, Transport with Business Management, Master of Science (MSc) with Distinction, Transport with Business Management at Imperial College London
Bachelor of Science (B.Sc.), Economics, Bachelor of Science (B.Sc.), Economics at Albert-Ludwigs-Universität Freiburg im Breisgau
Doctor of Philosophy - PhD, Urban Science / Data Science, Doctor of Philosophy - PhD, Urban Science / Data Science at University of Warwick
University College London
German, French, Spanish, Latin, English