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


  • LASPE Scholarship - Graduate Student Awards of Excellence, SPE-Los Angeles (2018)
  • University Scholarship - Excellent Student Awards, CUPB (2015)
  • National Scholarship, China Scholarship Council (2014)
  • Enterprise Scholarship - Excellent Student Awards, SINOPEC (2013)

Professional Affiliations and Activities


  • Research Assistant, AI for Climate Change (Stanford Artificial Intelligence Laboratory, SAIL) (2022 - 2022)
  • Research Assistant, Geothermal Research Group (2021 - 2022)
  • Director at the Business Development Team, Stanford Energy Club (2021 - 2022)
  • Teaching Assistant, ENERGY 175: Well Test Analysis (2020 - 2020)
  • Research Assistant, SUPRI-D (2018 - 2022)
  • Research Assistant, Smart Fields Consortium (2018 - 2022)

Education & Certifications


  • PhD, Stanford University, Energy Resources Engineering (2022)
  • Cert., Stanford University Graduate School of Business, Innovation and Entrepreneurship (2021)
  • MS, University of Southern California, Petroleum Engineering (2018)
  • BS, China University of Petroleum, Beijing, Storage &Transportation Engineering (2016)
  • Exch., University of Tulsa, Petroleum Engineering (2014)