Summary
Ethan Kyzivat is a Reginald A. Daly Postdoctoral Fellow at Harvard Earth & Planetary Sciences with nine years of research experience bridging hydrology, limnology, machine learning, and geospatial data science. He earned his PhD at Brown studying greenhouse gas emissions from Arctic lakes using satellite and airborne remote sensing (Landsat, WorldView, Planet, UAVSAR) as part of NASA’s ABoVE campaign and contributes to MethaneSAT inverse modeling efforts. Ethan combines intensive Arctic and temperate fieldwork—using UAVs, GPS, and hydrologic/biogeochemical techniques—with cloud-scale processing of remote sensing datasets and neural-network methods like super-resolution. FAA-certified as a remote pilot, he uniquely pairs hands-on mapping skills with algorithm development to improve surface-water boundary detection. He is also active in science education, mentorship, and diversity initiatives in STEM.
9 years of coding experience
ScM, Earth, Environmental & Planetary Sciences, ScM, Earth, Environmental & Planetary Sciences at Brown University
Diploma, Diploma at Simsbury High School
BS, Physics, BS, Physics at Yale University
English, Spanish