Martin Ma is an NSERC Postdoc in Energy Resource Engineering at Stanford University. He graduated from the University of Alberta with a Doctoral degree in Petroleum Engineering in 2018. He also holds an MSc degree in Earth Science and Engineering from King Abdullah University of Science and Technology and a BSc degree in Petroleum Engineering from the China University of Petroleum (East China). His current research topics include data-driven modeling, optimization, numerical simulation, heavy oil EOR. He has published many technical papers on artificial intelligence, heavy oil recovery, and reservoir characterization in peer-reviewed journals and SPE conferences. He also serves as a technical editor for serval journals. He is a registered engineer-in-Training (E.I.T.) member with the Association of Professional Engineers and Geoscientists of Alberta (APEGA) in Canada.

Honors & Awards

  • Postdoctoral Fellowships, Natural Sciences and Engineering Research Council of Canada (2019)

Professional Education

  • Ph.D., University of Alberta, Petroleum Engineering (2018)
  • M.Sc., King Abdullah University of Science and Technology, Earth Science and Engineering (2013)
  • B.Sc., China University of Petroleum (East China), Petroleum Engineering (2011)

Stanford Advisors