Ankur Desai
Professor, Atmospheric & Oceanic Sciences at University of Wisconsin-Madison
Madison, Wisconsin, United States
Summary
👤
Senior🎓
Top SchoolAnkur Desai is a Vilas Distinguished Professor and Chair of Atmospheric & Oceanic Sciences at the University of Wisconsin–Madison with over 12 years of experience advancing boundary layer meteorology, turbulence, land–atmosphere exchange, and ecosystem carbon modeling. He blends deep academic leadership and field-focused research with practical data-science skills, evidenced by contributions to the PEcAn predictive ecosystem toolbox where he improved meteorological gap-filling and data integration. Trained with a Ph.D. in Meteorology from Penn State and dual BA foundations in computer science and environmental studies, he navigates both theoretical biogeochemistry and hands-on computational workflows. Based in Madison, Wisconsin, he is known for translating complex terrestrial ecosystem processes into reproducible software and datasets that support regional-scale biogeochemical modeling.
11 years of coding experience
M.A., Geography, M.A., Geography at University of MinnesotaPh.D., Meteorology, Ph.D., Meteorology at Penn State UniversityBachelor of Arts - BA, Computer Science, Environmental Studies, Bachelor of Arts - BA, Computer Science, Environmental Studies at Oberlin College
Github Skills (8)
netcdf10
r10
data-science9
ecosystem9
ecos9
eco9
bayesian7
python5
Programming languages (5)
Github contributions (5)
PecanProject/pecan
May 2014 - Jan 2019
The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:4 reviews, 174 commits, 44 PRs in 4 years 8 months
Contributions summary:Ankur focused on developing and improving the meteorology gap-filling functionality within the PEcAn project. This involved implementing code for gap filling using the MDS approach via the REddyProc library, including adding support for specific humidity and updating the code to handle cases where the data has missing variables. The user's work involved integrating existing data sets with the software. They also made bug fixes in met data code.
forecastingplantspecanbioinformaticscyberinfrastructure
ankurdesai/pecan
Jan 2015 - Jun 2020
The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
Contributions:99 pushes, 2 branches in 5 years 6 months
integratedtoolboxpecanmeta-analysispredictive
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