Ekaterina Lezine
Data Scientist
United States
Summary
👤
Senior🎓
Top SchoolEkaterina Lezine is a data scientist with eight years of experience applying machine learning to geoscience and computer vision problems, currently building models at Corteva Agriscience. She has a strong applied-research background from roles at Rebellion Defense and a Brown University MS where she used GANs to enhance CubeSat imagery for water classification. Her work spans satellite remote sensing, uncertainty quantification in atmospheric datasets, and production-focused ML for geospatial applications. Ekaterina blends field-rooted environmental science training with hands-on engineering, translating domain knowledge into practical models and data products. She’s comfortable moving projects from research prototyping to applied deployment and brings uncommon depth in both paleoecological and atmospheric data approaches. Based in the United States, she combines curiosity-driven research with measurable impact in agriculture and defense-facing geospatial analytics.
8 years of coding experience
5 years of employment as a software developer
High School, High School at Phillips AcademyMaster of Science - MS, Earth, Environmental, and Planetary Sciences, Master of Science - MS, Earth, Environmental, and Planetary Sciences at Brown UniversityBachelor of Science - BS, Environmental Science, Highest Honors, Bachelor of Science - BS, Environmental Science, Highest Honors at University of North Carolina at Chapel Hill
Russian
Github Skills (9)
super-resolution9
high-resolution8
denoising8
toolbox8
vms7
computer-vision6
pytorch6
image-restoration6
deep-learning5
Programming languages (2)
Github contributions (5)
elezine/pixel-smasher
Sep 2020 - May 2021
Working version of Basic Super-Resolution Toolbox for class project.
Contributions:2 pushes in 8 months
pytorchdeep-learningtoolboxclass-projectresolution
ekcomputer/pixel-smasher
Apr 2020 - Nov 2020
Basic Super-Resolution Toolbox, including SRResNet, SRGAN, ESRGAN, etc.
Contributions:263 commits, 247 pushes in 6 months
srresnetdeep-learningtoolboxresolutioncomputer-vision
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