School of Engineering
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Ross Alexander
Ph.D. Student in Aeronautics and Astronautics, admitted Winter 2021
BioRoss is a second-year Ph.D. Candidate in Aeronautics & Astronautics at Stanford University and is a recipient of the Stanford Graduate Fellowship (SGF) in Science & Engineering. He is a researcher in the Stanford Intelligent Systems Lab (SISL), researching principled methods for algorithmic decision making under uncertainty utilizing approaches involving statistical machine learning and artificial intelligence. Ross’s research has led to international collaborations on topics spanning autonomous driving, multidisciplinary design optimization, and COVID-19. Ross has designed and taught several short artificial intelligence courses for middle and high school students and he has also served as a teaching assistant for various engineering, mathematics, and computer science courses at both the undergraduate and graduate levels.
Ross earned his Bachelor of Science in Aerospace Engineering from Texas A&M University in 2019. In his four years at Texas A&M, Ross developed a strong technical background through his work in trajectory modeling & simulation and propulsion system design on the Texas A&M University Sounding Rocketry Team and also through internships at aerospace research & development (R&D) companies.
