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Gabriel Tseng

Machine Learning Engineer at NASA Harvest

Gabriel Tseng is an accomplished professional in the field of machine learning and artificial intelligence, currently serving as an intern at the Allen Institute for AI (AI2) since June 2024. Tseng has extensive experience as a Machine Learning Engineer at NASA Harvest since April 2020 and at Okra Solar from September 2019 to August 2021. Tseng also held positions as a machine learning research intern at Small Robot Company and as a Machine Learning Engineer and Data Scientist at Drop, where Canopy Labs was acquired in November 2018. Additionally, Tseng contributed to weather forecasting projects at the European Centre for Medium-Range Weather Forecasts during the summer of 2019. Academically, Tseng is pursuing a Doctor of Philosophy (PhD) in Computer Science at McGill University, with a prior Bachelor's Degree in Physics obtained from the same institution.

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NASA Harvest

NASA Harvest is NASA's Global Food Supply and Agriculture Consortium. We are a multidisciplinary team of agricultural remote sensing experts commissioned by NASA and led by the University of Maryland. Our mission is to enhance the use of satellite data in decision making related to food supply and agricultural resilience worldwide. *Page content is our own, for official NASA comms visit https://www.linkedin.com/company/nasa/


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