PLS – Saverio Cambioni (MIT)
| What drives planetary diversity? |
Abstract: An important step towards understanding how the solar system formed and evolved is characterizing the current diverse population of asteroids and terrestrial planets. In the first part of my talk, I will present my recent study of what drives the diversity of asteroids’ surfaces using data from spacecraft missions and ground-based observations. In the second part, I will present my current work on how the diversity of the density of rocky planets — a major observable for exoplanets — may be driven by large collisions. Because we used machine learning in both projects, I will conclude by discussing the potentialities and challenges of using machine learning to advance the planetary sciences.
Bio: Dr. Saverio Cambioni (he/him/his) earned his PhD in the Planetary Sciences at the Lunar and Planetary Laboratory of the University of Arizona, with a thesis on the application of machine learning to planetary sciences. He also holds a BSc and MSc in aerospace and space engineering from Sapienza, University of Rome. He recently joined EAPS as a Distinguished Fellow (Crosby) in the group of Prof. Ben Weiss. Dr. Cambioni’s primary research focus is the use of machine learning to understand how the formation and evolution of asteroids and terrestrial planets shaped their diversity.
