I'm Gabriel Tsai, a sophomore studying CS at Stanford University. I like building and leveraging machine learning solutions for climate science and the energy industry.
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Research InternStanford University Jul 2024 - PresentDeveloping deep neural networks for Global Climate Models (GCMs) to predict rainfall with greater precision with Professor Yuan Wang. -
Caltech Research InternCaltech 2022 - 2024Wrote and tuned graph neural networks to help NASA Orbiting Carbon Observatory satellite characterize atmospheric aerosol layers to give accurate CO2 readings for use in studying effect of CO2 and greenhouse gas changes on climate change. Developing graph neural network called "GeoSAGE-Net" to further this study, presented findings at 2023 December American Geophysical Union (AGU) conference. -
Uci Research InternUc Irvine 2021 - 2023Wrote Python programs to web-scrape and streamline data from multiple PFAS databases for use by machine learning programs to conduct above analyses. Constructed visual representations of above PFAS research on 35 PFAS contaminants for research paper submitted to and published in Summer 2023 American Chemical Society's Environmental Science and Technology Water journal.
Gabriel Tsai Education Details
Frequently Asked Questions about Gabriel Tsai
What company does Gabriel Tsai work for?
Gabriel Tsai works for Stanford University
What is Gabriel Tsai's role at the current company?
Gabriel Tsai's current role is Student at Stanford University.
What schools did Gabriel Tsai attend?
Gabriel Tsai attended Stanford University, Sage Hill School.
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