Ross B. Alexander is a second-year graduate student at Stanford University pursuing a Master of Science in Aeronautics & Astronautics (M.S. 2021; Ph.D. 2024) and is also the recipient of a Stanford Graduate Fellowship (SGF) in Science & Engineering. Ross' future graduate research is focused on statistical machine learning, reinforcement learning, decision theory, autonomous driving, and human-centered autonomous systems. Ross earned his Bachelor of Science in Aerospace Engineering from Texas A&M University in May 2019. While at Texas A&M, Ross gained significant experience as a teaching assistant for several mathematics and aerospace courses over five semesters. Along with this, Ross acquired not only unique aerospace technical knowledge as a member of the Texas A&M University Sounding Rocketry Team for four years, but also valuable industry and research & development (R&D) experience through three summer internships at two different aerospace simulation R&D companies.

Honors & Awards

  • Stanford Graduate Fellowship (SGF) in Science & Engineering, Stanford University (03/2019)

Professional Affiliations and Activities

  • Journal referee, IEEE Robotics & Automation Letters (IEEE RA-L) (2020 - Present)
  • Journal referee, Journal of Artificial Intelligence Research (JAIR) (2020 - Present)
  • Member, Association for the Advancement of Artificial Intelligence (AAAI) (2019 - Present)
  • Member, American Institute of Aeronautics and Astronautics (AIAA) (2018 - Present)
  • Member, Institute of Electrical and Electronics Engineers (IEEE) (2019 - Present)

Education & Certifications

  • B.S., Texas A&M University, Aerospace Engineering (2019)

Work Experience

  • Machine Learning & Simulation Intern, CFD Research Corporation (5/2019 - 8/2019)


    Huntsville, AL

  • Hypersonics Intern, CFD Research Corporation (5/2018 - 8/2018)


    Huntsville, AL

  • Computational Analyst Intern, Corvid Technologies (5/2017 - 8/2017)


    Mooresville, NC