About Me

I am a machine learning researcher & engineer at LGND AI. My research focuses on the representation of geospatial phenomena in machine learning methods and, more broadly, on statistical machine learning and self-supervised representation learning. Beyond that, I am interested in the application of these methods in urban environments and to tackle climate change. In my free time, I volunteer for Climate Change AI where I served for two terms on the board until fall 2022. Before my current role, I was a postdoctoral researcher and research scientist at Microsoft Research. I completed my PhD at the University of Warwick and New York University, supervised by Stephen Jarvis (U Birmingham), Daniel Neill (NYU) and Hongkai Wen (U Warwick / Samsung AI). I was also an Enrichment student at the Alan Turing Institute and a Beyond Fellow at TUM / DLR. I hold a Bachelors degree in Economics from the University of Freiburg (Germany) and a Masters in Transportation from Imperial College and University College London.

For a recent talk about my work, check the video (MIT LIDS Seminar 2025) below:

News

• [08/08/2025] I have joined LGND AI as principal AI research engineer.
• [29/04/2025] We presented two papers [1,2] at the ICLR 2025 workshops on "Tackling Climate Change with Machine Learning", "ML for Remote Sensing" and "ML for Multiscale Processes".
• [18/12/2024] I have transitioned into a full-time researcher role at Microsoft Research.
• [10/12/2024] One paper accepted at AAAI.
• [04/05/2024] One paper accepted at ICML.
Show more
[21/02/2024] I recently talked about SatCLIP on Robin Cole's "Satellite Image Deep Learning" podcast. You can check the recording here.
[16/01/2024] One paper accepted at ICLR as a spotlight.
[04/01/2024] New short paper out in Nature, commenting on recent advances in ocean activity mapping using satellite imagery and deep learning.
[03/12/2023] I will be attending AGU and NeurIPS in the coming week. Drop me a message if you want to meet up and chat!
[01/12/2023] New preprint out on global, general-purpose pretrained location encoders with satellite imagery.
[11/10/2023] New preprint out on geographic location encoding with neural networks.
[22/07/2023] I gave a lecture on AI for Transportation at the virtual Climate Change AI Summer School 2023.
[21/07/2023] I recently gave talks at MIT and NYU.
[27/01/2023] I recently gave talks at Harvard, USC, TU Berlin and the National Renewable Energy Laboratory (NREL).
[20/01/2023] One paper accepted at AISTATS 2023.

Publications

Students & Mentees

David Mikisch, Postgraduate student, TU Berlin & Mila
Haoran Zhang, Postgraduate student, Harvard University
Natha Safir, Undergraduate student, University of Georgia (now SWE at Google)
Gyri Reiersen, Masters student, Technical University of Munich (now co-founder at Tanso)

Contact

Address: Seattle, WA, USA
Email: konstantin.klemmer16 (at) alumni.imperial.ac.uk

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