People - Pangeo Data

Pangeo is an open group. Anyone who agrees with our mission and vision is welcome to join.

To add your name to the list, fork the source for this site on GitHub, add your details to the file _data/people.yml, and submit a pull request. The easiest way to do this is to directly edit the file on GitHub.

Ryan Abernathey Lamont Doherty Earth Observatory physical oceanography climate
Anthony Arendt University of Washington alpine hydrology geospatial mapping remote sensing
Anderson Banihirwe distributed computing climate software
David Blodgett U.S. Geological Survey hydrology information modeling cyberinfrastructure geoinformatics
Noah Brenowitz University of Washington atmospheric science machine learning
John Burkhart University of Oslo climate snow hydrology energy transport cryosphere-aerosol remote sensing
Yu Cheng University of Miami climate modeling physical oceanography
Spencer Clark Princeton University atmospheric science climate
Tom Connolly Moss Landing Marine Labs physical oceanography coasts and estuaries observations numerical modeling teaching
Leif Denby ICAS, University of Leeds numerical modelling atmospheric dynamics cloud computing
Ed Doddridge Massachusetts Institute of Technology physical oceanography
Rob Fatland University of Washington remote sensing sensor networks data visualization cloud computing embedded hardware eduation and public outreach
Joe Hamman National Center for Atmospheric Research climate hydrology water resources
Scott Henderson University of Washington remote sensing active tectonics geodesy
Spencer Hill UCLA Dept. of Atmospheric & Oceanic Sciences, and Caltech Division of Geological & Planetary Sciences atmospheric dynamics climate
Chris Hill Massachusetts Institute of Technology ocean modeling hpc research computing cyberinfrastructure
Stephan Hoyer software algorithms
Damien Irving CSIRO physical oceanography climate software carpentry
Ben Koziol University of Colorado-Boulder / NOAA Global Systems Division HPC climate software GIS
Bryan Lawrence NCAS, University of Reading climate simulation hpc data infrastructure cloud computing
Julien Le Sommer Institut des Géosciences de l’Environnement physical oceanography ocean models climate
Chiara Lepore Lamont Doherty Earth Observatory hydrology
Redouane Lguensat Institut des Géosciences de l’Environnement machine learning computer vision
Fabien Maussion University of Innsbruck climate glaciology
Ryan May University Corporation for Atmospheric Research/Unidat atmospheric science remote sensing algorithms
Jeremy McGibbon University of Washington Department of Atmospheric Sciences atmospheric science climate
Joy Monteiro Stockholm University climate atmospheric science modeling
James Munroe Memorial University of Newfoundland physical oceanography
Kai Pak Columbia University physical oceanography climate
Kevin Paul National Center for Atmospheric Research climate distributed computing algorithms
Rachel Prudden Met Office Informatics Lab atmospheric science distributed computing algorithms
Colin Raymond Columbia University climate atmospheric science modeling
Matthew Rocklin Continuum Analytics distributed computing algorithms
Brian Rose University at Albany climate atmospheric science physical oceanography modeling
Daniel Rothenberg Massachusetts Institute of Technology climate meteorology policy
Stanislav Seltser array storage engines scientific computing infrastructure
Rich Signell U.S Geological Survey physical oceanography coastal ocean modeling geoinformatics
Maike Sonnewald Massachusetts Insitute of Technology statistics modeling/HPC physical oceanography
Guillaume Sérazin Laboratoire d'Étude en Géophysique et Océanographie Spatiale physical oceanography climate
Guido Vettoretti University of Toronto paleoclimate HPC physical oceanography
Duncan Watson-Parris University of Oxford amotpsheric physics numerical modelling observations data fusion machine learning
Nic Wayand University of Saskatchewan hydrology atmospheric science
Phillip Wolfram Los Alamos National Laboratory physical oceanography modeling climate
Jiawei Zhuang Harvard University atmospheric chemistry numerical methods HPC
Erik van Sebille Institute for Marine and Atmospheric research Utrecht, Utrecht University, Netherlands physical oceanography climate software