Conor Doherty
NASA Postdoctoral Fellow, NASA Earth eXchange (NEX)
Contents
Branch: Biospheric Science Branch (SGE)
Email: conor.t.doherty@nasa.gov
Bio
Conor Doherty is a NASA Postdoctoral Fellow at NASA Ames working on characterizing uncertainty in meteorological forcing of evapotranspiration (ET) using satellite remote sensing and geostatistical methods. Conor completed a PhD in Environmental Engineering at Stanford in 2023, where he worked on a variety of applied and theoretical topics related to remote sensing of agriculture and temporal variation in ET. He is a contributor to the OpenET project. Conor also holds an MS in Public Policy and Management and a BS in Mathematics. Between undergraduate and graduate school, he worked at the database software company SingleStore (previously called MemSQL).
Education
Ph.D., 2023, Environmental Engineering, Stanford University
M.S., 2019, Public Policy and Management, Carnegie Mellon University
B.S., 2013, Mathematics, Stanford University
Experience
2019-2023: Graduate research associate, Stanford University
2019-2023 – Software engineer/research associate, OpenET
Awards and Honors
2023: NASA Postdoctoral Program Fellow
2020-2021: Stanford Data Science Scholar
Publications
- Doherty, C.T., (tutorial). [link] “The Uses and Limitations of the Discrete Fourier Transform for Analyzing Intra-Annual Environmental Time Series.”
- Doherty, C.T., Mauter, M.S., (preprint) [link]. “Fisher Discriminant Analysis for Extracting Interpretable Phenological Information from Multivariate Time Series Data.”
- Doherty, C.T., et al., (2022) [link]. “Effects of meteorological and land surface modeling uncertainty on errors in winegrape ET calculated with SIMS.” Irrigation Science.
- Melton, F.S., Huntington, J., […], Doherty, C.T., […], (2021). [link] “OpenET: Filling a Critical Data Gap in Water Management for the Western United States.” Journal of the American Water Resources Association.