Research group Climate-ecosystem-disturbance interactions
Intern. Max Planck Research School for Global Biogeochemical Cycles (IMPRS-gBGC)
My focus is using machine learning and data driven techniques to improve regional and global carbon flux modeling, integrating bottom-up ecosystem measurements and top-down observations of atmospheric carbon. I am generally interested in spatial and temporal context in machine learning for the atmospheric and biogeosciences.
2017 - BSc, Geographic Information Science, Clark University, Worcester MA, USA
2017-2021, Staff Scientist / Data Scientist Atmospheric and Environmental Research (AER) Lexington MA USA