Summary
Ellen Considine is an Assistant Professor at CU Boulder who applies data science and applied statistics to questions at the nexus of environmental change, air pollution, and public health. With eight years of experience spanning academic research, teaching, and applied consulting, she brings rigorous biostatistical methods to GeoHealth and planetary health problems. Her work blends machine learning for exposure estimation with traditional epidemiologic analyses, informed by hands-on sensor calibration and remote sensing experience from projects on wildfire smoke and urban air quality. A former NSF Graduate Research Fellow at Harvard Chan, she also shapes science policy and pedagogy—developing curricula and contributing to the Fifth National Climate Assessment—highlighting a commitment to translating methods into policy-relevant insight.
8 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree Computational and Applied Mathematics, Bachelor’s Degree Computational and Applied Mathematics at University of Colorado Boulder
High School, High School at Fairview High School
Doctor of Philosophy - PhD Biostatistics, Doctor of Philosophy - PhD Biostatistics at Harvard T.H. Chan School of Public Health