3rd SMD and ETD Workshop on A.I. and Data Science: Leaping Toward Our Future Goals

Victoria Da Poian is a data scientist in the Planetary Environment Laboratory (PEL) at NASA Goddard Space Flight Center. Her research focuses on developing machine learning (ML) and data science tools for planetary science instruments (such as mass spectrometers) in order to develop science autonomy for space missions. She mainly works on the MOMA instrument (Mars Organic Molecule Analyzer), DraMS (Dragonfly Mass Spectrometer), and other ocean worlds research projects. Victoria is a key part of the MOMA operations team planning how to employ the instrument on the surface of Mars. 

Victoria Da Poian has organized open science ML challenges in order to investigate the use of transfer learning techniques applied to the SAM (Sample Analysis at Mars) instrument onboard Curiosity rover. Victoria Da Poian obtained her master's degree in Aerospace Engineering from ISAE-Supaero (Toulouse, France) in 2019. She is currently a PhD candidate at the Johns Hopkins University.