Austin Park is a Machine Learning Engineer at Gridmatic, focusing on designing and enhancing wind, load, and solar models since December 2019. Previously, Austin served as Co-director for the Stanford Energy Policy Community, organizing educational speaking events from April 2018 to December 2019. Austin pursued an M.S. in Energy Resources Engineering at Stanford University (2017-2019) after earning a Bachelor of Science in Civil and Environmental Engineering from UCLA (2013-2017). Austin has also gained experience as a Research Intern at Google, an Analyst at Bloomberg NEF, and held several roles at UCLA, including Director of Sustainability Action Research and Carbon Neutrality Fellow, emphasizing sustainable initiatives and student engagement.
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