Madeline Lisaius
Doctoral Student at The Rockefeller Foundation
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolMadeline Lisaius is a Senior Data Scientist specializing in the intersection of AI, geospatial data, and Earth systems, with 8+ years of hands-on experience and a decade-long trajectory in remote sensing and machine learning. She builds production-ready satellite-based solutions for agriculture and climate, currently leading geospatial foundation-model and embedding applications for agricultural remote sensing at GeoWatch Labs. Her work blends academic rigor—PhD/MRes research at Cambridge on self-supervised learning for timeseries satellite data—with practical program building at The Rockefeller Foundation, where she stood up a satellite remote-sensing program and advised multi-million-dollar portfolios. Madeline pairs technical leadership with international partnership experience across Stanford, National Geographic, Planet and the UN, and brings an unusual mix of entrepreneurial and community-building skills from founding a successful dance academy. She’s passionate about translating foundation models into accessible modalities for smallholder and humanitarian contexts, and is available for consulting.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Artificial Intelligence for Environmental Risk, Doctor of Philosophy - PhD Artificial Intelligence for Environmental Risk at University of CambridgeMasters of Science (MS) Earth Systems, Masters of Science (MS) Earth Systems at Stanford University
English, Spanish, FrenchProgramming languages (3)
Github contributions (5)
mlisaius/uk-housing-sales-predictor
Dec 2021 - Mar 2022
Framework to incorporate UK housing sales data, UK postal codes, and OpenStreetMap data and then predicting the sale price of a new latitude and longitude location.
Contributions:1 release, 2 PRs, 2 pushes in 2 months
openstreetmap-datalatitudesalelatitude-and-longitudesales
mlisaius/mlisaius.github.io
Nov 2022 - Nov 2022
Contributions:9 pushes, 1 branch in 2 days
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