Victoria Da Poian

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About

Dr. Victoria Da Poian is a pioneering researcher at the intersection of space science and artificial intelligence, whose work is redefining how we explore other worlds. Her primary research areas include science autonomy, machine learning for planetary missions, and astrobiology instrumentation. Dr. Da Poian’s most significant contribution is the development of advanced machine learning algorithms for the Mars Organic Molecule Analyzer (MOMA) instrument on the ExoMars mission. This work, detailed in her most-cited paper (2022, 9 citations), dramatically improves the accuracy and efficiency of analyzing Martian organic compounds—a critical step in the search for past or present life. She has also been instrumental in addressing the fundamental challenge of data transmission from deep space, creating autonomous systems that intelligently prioritize which scientific data to return to Earth when bandwidth is limited. Her 2021 study on non-robotic science autonomy (8 citations) and her 2023 work on ML for planetary missions (3 citations) further solidify her role as a leader in this field. By enabling spacecraft to make real-time scientific decisions, Dr. Da Poian is not just advancing ExoMars—she is laying the groundwork for a future where rovers and orbiters become true science partners, maximizing every bit of data from the solar system’s most remote frontiers.