Mohammad is currently a Lead Applied Scientist at Microsoft, and Instructor at Stanford University. He is a former Data Scientist at Apple and previously worked for Samsung, Bosch, General Electric and UCLA Research Labs. He is the author of the book, ‘Applications of Mining Massive Time Series Data’. He has also been a keynote speaker at more than 60 Data Summits/Conferences around the globe.

Academic Appointments

  • Casual - Other Teaching Staff, Continuing Studies and Summer Session

Boards, Advisory Committees, Professional Organizations

  • Shadow Board Member of Directors, Microsoft (2020 - 2021)

Professional Education

  • PhD, University of California, Riverside, Computer Science (2015)
  • BSc, University of Tehran, Software Engineering (2010)


  • Mohammad Shokoohi-Yekta. "United States Patent Trade Secret Automated Display Testing on OLED and LCD", Microsoft, Jun 1, 2020
  • Mohammad Shokoohi-Yekta. "United States Patent 62/738,339 System and Method of Controlling Devices Using Motion Gestures", Apple, Apr 1, 2020
  • Mohammad Shokoohi-Yekta. "United States Patent 62/619,267 System and Method for Optimizing Energy Use of a Structure Using a Clustering-Based Rule-Mining Approach", Bosch, Jan 1, 2018