Allison Baer is a Ph.D. candidate at the University of Maryland. Her research aims to study the health impacts of exposure to wildfire-derived air pollution. Her dissertation relies on machine learning to derive estimates of air pollution emitted by wildfires in Alaska. Additionally, she seeks to study the relationships between exposure and adverse respiratory health outcomes. 

Previously, she has worked on projects related to indicators of climate change and data visualization.

Areas of Interest

  • Remote sensing
  • Machine learning
  • Spatial epidemiology
CV: Baer_CV_3.pdf118.68 KB


  • Degree Type
    Degree Details
    Environmental Science and Policy, University of Maryland


  • 2020 Honorable Mention, National Science Foundation Graduate Research Fellowship Program
  • 2019 Jacob K. Goldhaber Travel Grant
  • 2018 College of Behavioral and Social Sciences Dean's Fellowship


  • 2020 NASA Arctic Boreal Vulnerability Experiment (ABoVE) Science Team Meeting
  • 2019 American Geophysical Union Annual Meeting


  • Machine learning

Research Topics

  • Geospatial-Information Science and Remote Sensing
  • Human Dimensions of Global Change - Coupled Human and Natural Systems
Baer, A profile image
2138 LeFrak
Department of Geographical Sciences
aebaer [at]