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sarahsupp/README.md

Hi, my name is Sarah ๐Ÿ‘‹

I am an Associate Professor of Data Analytics at Denison University. I conduct collaborative research in the areas of biodiversity change, animal movement, and the integration of data science skills into disciplinary domains. At Denison, I teach interdisciplinary undergrduate courses, including programming in R, python, and SQL, version control using GitHub, research methods, and project management.

eastern-redcedar-68901.jpg

Here's a quick summary about me

  • ๐Ÿ˜„ Pronouns: she/her
  • ๐Ÿ”ญ Iโ€™m currently working on several National Science Foundation grants:
    • examining bird migration and range expansion of the eastern redcedar tree
    • species persistence in systems with long-term disturbance dynamics
    • integrating data science skills into undergraduate biology curricula
  • ๐ŸŒฑ Iโ€™m currently (re)learning python after a long hiatus to focus on research projects that use R
  • ๐Ÿ“ซ You can view my website at https://sarahsupp.org and contact me through my Denison University webpage

Top Langs

๐Ÿšจ The languages shown above do not show my actual skillset but show the languages that are shown the most in my github

You can find me on LinkedIn:

LinkedIn

Popular repositories

  1. hb-migration hb-migration Public

    This repository is to collect the code for a project to describe and predict the migration of North American hummingbird species.

    R 3

  2. boot-camps boot-camps Public

    Forked from swcarpentry/DEPRECATED-boot-camps

    Software Carpentry boot camp material

    Python 1

  3. growR growR Public

    functions to map data to Geographic Regions of the World

    R 1

  4. persistence persistence Public

    trying out some idea for a temporal persistence project

    1

  5. KNZ-incidence KNZ-incidence Public

    This repository contains data and code for analyses supporting the NSF EAGER Award 2227298.

    R 1

  6. portal portal Public

    Forked from weecology/portal-tools

    Code for working with the Portal Project data

    Python 1