Yuanjun Li is a Ph.D. Candidate from Energy Resources Engineering. She is currently working on time-series missing data imputation and well historical data analysis with deep learning approaches. In addition, she has broad interests in thermal energy resources including geothermal energy and solar thermal energy.

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 - Present)
  • Director at the Business Development Team, Stanford Energy Club (2021 - Present)
  • Research Assistant, Geothermal Research Group (2021 - Present)
  • Teaching Assistant, ENERGY 175: Well Test Analysis (2020 - 2020)
  • Research Assistant, Smart Fields Consortium (2018 - Present)
  • Research Assistant, SUPRI-D (2018 - Present)

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)

Current Research and Scholarly Interests

- Smart field technologies: Remote sensing technologies (PDGs, DTS, DAS)
- Time-series production data analysis with deep learning approaches.