Alex Stoken
Data Scientist | JETS
Alex Stoken
Data Scientist
JETS
Phone
281.483.4685
Phone
281.483.4685
Biography
Alex Stoken is a data scientist specializing in computer vision and geospatial analysis. For Artemis II, Alex is a member of the Crew Lunar Observations team where he develops software to assist the Lunar Science Team and Artemis Crew with lunar observations.
Outside of mission activities, his primary focus is on using AI/ML techniques to assist geospatial analysis of potential lunar landing sites, augment the astronaut photography of Earth archive, and improve vision-based space navigation via his work with the TRON project. Alex collaborates with groups across JSC on projects that leverage machine learning, including multiple IRAD and SABRE tech development projects.
Education
M.S.
Computer Science
University of Texas at Austin
2022
B.S.
Physics
University of Arizona
2019
Education
M.S., Computer Science, 2022
University of Texas at Austin
B.S., Physics, 2019
University of Arizona
Select Publications
Alex Stoken, Peter Ilhardt, Sarah Walton, Hunter Danuqe, Melissa Thomas, Pedro Montalvo, Cameron Pittman, Andrew Britton (2025). Robust, High Precision Automated Coregistration of LROC NAC Imagery. In 56th Lunar and Planetary Science Conference.
Sara Schmidt, Alex Stoken, Wilfredo Garcia-Lopez, Cody Boyer, David Charney, Matthew Miller (2025). Enabling Orbital Crew Lunar Observations During Artemis Missions. In 56th Lunar and Planetary Science Conference..
Alex Stoken, Peter Ilhardt, Mark Lambert, Kenton Fisher (2024). (Street) Lights Will Guide You: Georeferencing Nighttime Astronaut Photography of Earth. In Image Matching Workshop, Computer Vision and Pattern Recognition 2024.
Alex Stoken, Peter Ilhardt, Andrew Britton (2024). Learning Terrain Ruggedness from LROC NAC Image Data. In 55th Lunar and Planetary Science Conference.
Alex Stoken, Kenton Fisher (2023). Find My Astronaut Photo: Automated Localization and Georectification of Astronaut Photography. In Image Matching Workshop, Computer Vision and Pattern Recognition 2023.
A Stoken, A Britton, M Lambert, A Turner, M Rubio (2023). Automated Boulder Counting: Deep Learning For Boulder Detection And Height Estimation. 54th Lunar and Planetary Science Conference.