Lior Rubanenko
Assistant Professor at Planetary Science Institute
Boulder, Colorado, United States
Summary
👤
Senior🎓
Top SchoolLior Rubanenko is an assistant professor and planetary scientist with eight years of experience applying deep learning and computer vision to remote sensing problems for the Moon and Mars. He has combined roles at Stanford, UCLA, the Planetary Science Institute, and now Tel Aviv University to develop automated tools that map dunes, infer wind directions, and detect polar ice from orbiter data. A PhD in Geophysics and Space Physics underpins his work linking neural networks with physical models to extract climatic and volatile histories from topography and radiometry. Based in Boulder, Colorado, he brings practical software engineering experience from earlier automation roles, enabling reproducible, production-ready research pipelines. He is notable for translating domain knowledge of eolian processes into scalable ML methods that directly support mission planning and planetary climate studies.
8 years of coding experience
12 years of employment as a software developer
Bachelor of Science (BSc), Atmospheric and Planetary Physics, Bachelor of Science (BSc), Atmospheric and Planetary Physics at Tel Aviv UniversityMaster of Science (MSc), Planetary Astronomy and Science, Master of Science (MSc), Planetary Astronomy and Science at Weizmann Institute of ScienceDoctor of Philosophy (Ph.D.), Geophysics and Space Physics, Doctor of Philosophy (Ph.D.), Geophysics and Space Physics at University of California, Los Angeles
English, Spanish, Hebrew
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
keras8
object-detection6
mask6
segmentation6
tensorflow5
deep-learning4
faster-rcnn3
mask-rcnn3
instance-segmentation3
Programming languages (2)
Github contributions (5)
liorruba/surface_evolution
Jul 2019 - Mar 2023
Contributions:28 pushes, 1 branch in 3 years 8 months
liorruba/shallow_simple_craters
Jun 2019 - Nov 2022
Contributions:1 release, 2 commits, 1 push in 3 years 6 months
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