Paul Horton is a Ph.D. student in the Exploration Systems Design (Systems Engineering) program at the School of Earth and Space Exploration. He earned B.S. degrees in Applied Physics and Software Engineering in 2018, and a M.S. in Software Engineering in 2019. He is a recipient of the NASA Space Technology Graduate Research Opportunity (NSTGRO) for his work on integrating data science systems into planetary science and astronomy and plans to graduate in 2023. He works closely with the Machine Learning and Instrument Autonomy Group at the Jet Propulsion Laboratory, California Institute of Technology, on multi-spectral anomaly detection with Curiosity and on-board autonomy for balloon operations.