
Yuanjun Li
Ph.D. Student in Energy Resources Engineering, admitted Winter 2019
Bio
Yuanjun Li is a Ph.D. Candidate from Energy Resources Engineering. She is currently working on applying deep learning approaches for time-series production data analysis, including missing data imputation, pressure prediction, and well connectivity analysis. In addition, she has broad interests in commodities, cleantech startups, and worker-focused energy transition policies.
Honors & Awards
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LASPE Scholarship - Graduate Student Awards of Excellence, SPE-Los Angeles (2018)
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University Scholarship - Excellent Student Awards, CUPB (2015)
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National Scholarship, China Scholarship Council (2014)
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Enterprise Scholarship - Excellent Student Awards, SINOPEC (2013)
Professional Affiliations and Activities
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Research Assistant, AI for Climate Change (Stanford Artificial Intelligence Laboratory, SAIL) (2022 - 2022)
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Research Assistant, Geothermal Research Group (2021 - 2022)
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Director at the Business Development Team, Stanford Energy Club (2021 - 2022)
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Teaching Assistant, ENERGY 175: Well Test Analysis (2020 - 2020)
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Research Assistant, SUPRI-D (2018 - 2022)
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Research Assistant, Smart Fields Consortium (2018 - 2022)
Education & Certifications
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PhD, Stanford University, Energy Resources Engineering (2023)
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Cert., Stanford University Graduate School of Business, Innovation and Entrepreneurship (2021)
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MS, University of Southern California, Petroleum Engineering (2018)
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BS, China University of Petroleum, Beijing, Storage &Transportation Engineering (2016)
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Exch., University of Tulsa, Petroleum Engineering (2014)