Kaitlyn Frank

Katy Frank is working under Russ Miller and with the Observing Systems and Ecosystem Dynamics teams to facilitate data management, develop and maintain web interfaces for data products, and assist with research tasks as needed. Previously a software engineer with a computer science background, she recently returned to graduate school to obtain a Master of Science in Geospatial Data Science from the University of Michigan School for the Environment and Sustainability, and is very excited to now be assisting with CIGLR and NOAA’s research objectives!
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Education:

• M.S. in Geospatial Data Science, University of Michigan, 2022
• B.A. in Computer Science & German, University of Michigan, 2016

Research Interest/Area of Expertise:

• Spatial and remote sensing data analysis
• Design and maintenance of data management
  processes
• Ecological data analysis and modeling

Presentations:

• Frank, K., Ditmer, M., Stoner, D., Currie, B., & Carter, N. (2022, April). Landscape predictors of mule deer road crossing
  behavior in the American southwest. Presentation at the International Association for Landscape Ecology (IALE) –
  North America 2022 Annual Meeting.
• Frank, K., Ditmer, M., Stoner, D., Currie, B., & Carter, N. (2022, March). Landscape predictors of mule deer road
  crossing behavior in the American southwest. Presentation at the Utah Chapter of the Wildlife Society 2022 Annual
  Conference.
• Frank, K., Ditmer, M., Stoner, D., Currie, B., & Carter, N. (2021, November). Landscape predictors of mule deer road
  crossing behavior in the American southwest. Student Research in Progress poster presented at The Wildlife Society
  2021 Virtual Conference.