CV
Download my CV or read a summary below.
Education
- Ph.D in Ecology & Evolutionary Biology, University of Colorado Boulder, 2025
- B.A. in Biology, Cornell University, 2019
Work experience
- Fall 2025 - Present: Postdoctoral Research Associate
- University of Colorado Boulder, Ecology & Evolutionary Biology
- Funded by NASA Biodiversity Survey of the Cape
- Supervisors: Laura Dee (CU Boulder) & Peter Adler (Utah State University; BioSCape PI)
- Spring 2024 - Fall 2025: Graduate Research Assistant
- University of Colorado Boulder, Ecology & Evolutionary Biology
- Funded by NASA Biodiversity Survey of the Cape
- Supervisors: Laura Dee (CU Boulder) & Peter Adler (Utah State University; BioSCape PI)
- Spring 2023 - Spring 2024: Graduate Research Assistant
- University of Colorado Boulder, Earth Lab, Cooperative Institute for Research in the Environment
- Funded by NASA Biodiversity Survey of the Cape
- Supervisors: Matt Rossi (CU Boulder) & Natasha Stavros (Ball Aerospace; BioSCape PI)
- Fall 2021: Graduate Research Assistant
- University of Colorado Boulder, Environmental Science
- Supervisor: Steve Miller
- Summer 2021: Graduate Research Fellow
- City of Boulder, Department of Climate Initiatives
- Supervisor: Brett KenCairn
- Spring 2021: Graduate Research Assistant
- National Center for Atmospheric Research
- Supervisor: Will Weider
Skills
- Programming
- Expert in R, proficient in Python programming languages.
- Basic skills in ENVI + IDL and JavaScript.
- Experienced working in cloud environments, including AWS.
- Experienced with version control and creating reproducible code.
- Works in GitHub.
- Knowledgeable about coding standards, unit testing, etc.
- Remote Sensing
- Experience working with hyperspectral data from proximal and airborne platforms (NEON AOP, AVIRIS-NG), as well as LiDAR data from airborne platforms (LVIS).
- Experience with collecting data via handheld and drone-mounted instruments.
- Experience pulling together large datasets from different sources, including satellite imagery (Sentinel-2, ECOSTRESS, etc.).
- Proficient using ArcGIS, QGIS and ENVI, as well as programming for remote sensing analyses (see above).
- Statistical Analysis & Causal Inference
- Experienced in causal inference approaches for observational ecological data, including:
- Propensity score matching and weighting
- Causal mediation analysis
- Regression discontinuity designs
- Difference-in-differences frameworks
- Skilled in handling hierarchical and spatial data, including cross-site synthesis (e.g., international drought network experiments).
- Strong background in uncertainty quantification and propogation, including bootstrapping and conformal prediction.
- Experienced presenting complex statistical results in interpretable visualizations for both scientific and applied audiences.
Publications
Vandvik, V., ... Hayden, M.T., ... Rosati, M. (2025) Plant traits and associated ecological data from global change experiments and climate gradients in Norway. Accepted in Scientific Data.
Ramachandran, A., Dee, L., Hayden, M.T., & Suding, K. (2024). Leveraging plant functional traits in the design of nature-based solutions: A research agenda. Journal of Ecology, 112, 2492–2501. https://doi.org/10.1111/1365-2745.14371
Hayden, M.T., Van Cleemput, E., Suding, K., Lezberg, A., Anacker, B., & Dee, L. (2024). High resolution spectral data predicts taxonomic diversity in low diversity grasslands. Ecological Solutions and Evidence. https://doi.org/10.1002/2688-8319.12365
Van Kleunen, L.B., Peterson, K.A., Hayden, M.T., Keyes, A., Schwartz, A.J., Li, H., & Dee, L.E. (2023) Decision-making under uncertainty for species introductions into ecological networks. Ecology Letters, 26, 983–1004. https://doi.org/10.1111/ele.14212.
Talks
Coming soon!
Teaching
Coming soon!
Service and leadership
Coming soon!
