PTYS/LPL Graduate Students

Saverio Cambioni

Astrobiology Research, Exoplanets; Planetary Formation and Evolution, Planetary Analogs, Small Bodies, Machine Learning, Remote Sensing & Space Exploration
M.S. Space and Astronautical Engineering, 2016, University of Rome La Sapienza
B.S. Aerospace Engineering, 2014, University of Rome La Sapienza
MS (en route) Planetary Science, 2019, Lunar and Planetary Laboratory, The University of Arizona

Kuiper 334

Major Advisor(s): Erik Asphaug

I use machine learning to streamline ground- and space-based observations and simulations into fast and accurate surrogate physical models. I mainly focus on the formation and evolution of terrestrial planets and asteroids, and on instrument data-fusion for maximizing the scientific return of space missions.


  • Cambioni, S., Asphaug, E., Emsenhuber, A., Gabriel, T. S. J., Furfaro, R., and Schwartz, S. R. Realistic On-The-Fly Outcomes of Planetary Collisions: Machine Learning Applied to Simulations of Giant Impacts. The Astrophysical Journal, Volume 875, Number 1. PDF here
  • Cambioni, S., Delbo, M., Ryan, A. J., Furfaro, R., & Asphaug, E. Constraining the Thermal Properties of Planetary Surfaces using Machine Learning: Application to Airless Bodies. Icarus, 2019. PDF here
  • Rizk, B., d'Aubigny, C.D., Hergenrother, C.W., Bos, B.J., Golish, D.R., Malhotra, R., Lauretta, D.S., Butt, J., Patel, J., Fitzgibbon, M. and May, C., Bierhaus, E.B., Freund, S., Fisher, M., Cambioni, S., and other 13 authors. OSIRIS-REx low-velocity particles during outbound cruise. Advances in Space Research, 2018. PDF here
  • Cambioni, S., and Malhotra, R.. The mid-plane of the Main Asteroid Belt. The Astronomical Journal 155.3: 143, 2018. PDF here
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Last updated on July 19, 2019