Skip to content
View lgloege's full-sized avatar
🐶
🐶

Highlights

  • Pro

Block or report lgloege

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
lgloege/README.md

Luke Gloege

Computational Climate Scientist / Open Science Advocate

  • 🔭 Associate Research Scientist at Yale University in DEPS and YCNCC
  • 🔭 Postdoctoral Associate in the Eisaman lab at Yale University

Bio

Luke is an Associate Research Scientist at Yale University in the Department of Earth & Planetary Sciences and the Yale Center for Natural Carbon Capture (YCNCC). Luke oversees the data and scientific computing needs across the YCNCC and supports and collaborates with YCNCC scientists to advance the research and deployment of climate change solutions developed at the Center. Prior to joining Yale in 2024, he was a Data Engineer at the Open Earth Foundation. His postdoctoral training was at Yale, Columbia, and NASA-GISS. He received his Ph.D. in Earth and Environmental Science from Columbia, M.S in Atmospheric and Oceanic Sciences from University of Wisconsin - Madison, M.S in Water Resources Sciences from University of Minnesota – Duluth, and B.S. in Physics and Mathematics from University of Minnesota – Duluth. His research has broadly centered around using numerical model and data science techniques to study the global carbon cycle, focusing on ocean biogeochemistry. His current focus is on quantifying CO2 removal from ocean alkalinity enhancement interventions.

Pinned Loading

  1. zenodopy zenodopy Public

    Manage Zenodo projects with Python

    Python 15 8

  2. MITgcm-ballast-model-1D MITgcm-ballast-model-1D Public

    A 1D model NPZD model + ballasting

    Fortran 1 3

  3. YAML-CV YAML-CV Public

    A CV written in YAML and compiled to PDF using pandoc

    TeX 9 5

  4. fast-link-extractor fast-link-extractor Public

    Quickly extract links from HTML

    Python