I am an interdisciplinary environmental scientist interested in the sustainable management of ecosystems in the context of rapid environmental change. I integrate diverse quantitative and qualitative data to understand the drivers of change in complex social-ecological systems, drawing on theories and methods from conservation science, global change ecology, econometrics, and environmental data science while co-producing knowledge through collaborations with land management agencies. Much of my current work focuses on the socio-environmental impacts of changing wildfire regimes in western North America.
keywords
Conservation science, fire ecology, social-ecological systems, causal inference
GEOG 4103 - Geographic Information Science: Spatial Analytics
Primary Instructor
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Spring 2025 / Spring 2026
Explores advanced topics in geospatial databases, spatial analytics and geoprocessing in a Geographic Information System (GIS). Emphasizes how geographic concepts are linked to methodological frameworks for recording, transforming, storing/retrieving, analyzing, and processing geographic data as well as various forms of uncertainty. Exercises demonstrate the application of GIS-based methods to real world scenarios in interdisciplinary settings. Same as GEOG 5103.
GEOG 4463 - Earth Analytics Data Science Bootcamp
Primary Instructor
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Fall 2025
Learn key skills to automate data processing and visualization workflows that support both repeatable analysis and collaborative project approaches using scientific programming, version control and project management tools. Covers working with heterogeneous, large spatio-temporal data derived from space, airborne and ground based sensors and other sources. Gain applied experience through group projects that address real world problems. Same as GEOG 5463.
GEOG 5103 - Geographic Information Science: Spatial Analytics
Primary Instructor
-
Spring 2025 / Spring 2026
Explores advanced topics in geospatial databases, spatial analytics and geoprocessing in a Geographic Information System (GIS). Emphasizes how geographic concepts are linked to methodological frameworks for recording, transforming, storing/retrieving, analyzing, and processing geographic data as well as various forms of uncertainty. Exercises demonstrate the application of GIS-based methods to real world scenarios in interdisciplinary settings. Same as GEOG 4103.
GEOG 5463 - Earth Analytics Data Science Bootcamp
Primary Instructor
-
Fall 2025
Learn key skills to automate data processing and visualization workflows that support both repeatable analysis and collaborative project approaches using scientific programming, version control and project management tools. Covers working with heterogeneous, large spatio-temporal data derived from space, airborne and ground based sensors and other sources. Gain applied experience through group projects that address real world problems. Same as GEOG 4463.
GEOG 5563 - Earth Analytics
Primary Instructor
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Spring 2025 / Spring 2026
Introduce students to major unanswered questions in Earth science and to the analytical tools, including data management, analysis and visualization, necessary to explore 'big data' from a suite of sensors. Aligns with Earth Lab, a new initiative of the University's Grand Challenge (http://www.colorado.edu/grandchallenges/) to use our expertise in space-based observation to address our world's most pressing problem. Comparable programming course work may be substituted for GEOG 5463 with instructor approval. Same as GEOG 4563.
