Dr. Mauceri serves as a Data Scientist at NASA’s Jet Propulsion Laboratory in Pasadena, California. He holds leadership roles as the Group Lead for Earth Science Machine Learning applications and Deputy Program Manager for the Earth Data Science & Technology Program Office. In these capacities, he bridges the gap between data science and earth science, guiding the strategic integration of these fields at JPL.

In addition to his programmatic responsibilities, Dr. Mauceri contributes to various active and upcoming missions. His current projects include data-driven bias correction and radiative transfer emulation for the Orbiting Carbon Observatory missions (OCO-2 and OCO-3), and leading the development of fluxes and heating rate products for the Atmospheric Observing System (AOS). He also applies machine learning techniques to cloud tomography, 3D scene reconstruction, statistical downscaling, and the acceleration of Earth system models.

Dr. Mauceri’s prior experience includes studying solar irradiance variability at the Laboratory for Atmospheric and Space Physics, working with the Spectral Irradiance Monitor (SIM) aboard the SORCE spacecraft and its successor on the International Space Station. He also developed data-driven methods for retrieving aerosol optical properties from hyperspectral imagery and contributed to the mechanical design of the telescope for the Stratospheric Observatory for Infrared Astronomy (SOFIA) at NASA Ames.

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Education

• Atmospheric and Oceanic Sciences (PhD) - CU Boulder
• Aerospace Engineering (MS) - University Stuttgart

Research Interests

• Earth Science
• Remote Sensing
• Machine Learning