Mauricio's research interests lie at the intersection of computer vision, image processing, remote sensing, and scientific visualization. His vision is to advance techniques that transform raw imagery and remote sensing measurements into actionable scientific knowledge, while ensuring broad accessibility to data products and tools.
This includes solving complex inverse problems and developing cutting-edge algorithms for the analysis of Earth and planetary data, enabling more accurate characterization of planetary surfaces, geological features, the evolution of celestial bodies, and a better understanding of atmospheric processes on Earth.
His specific interests include:
- High-precision 3D reconstruction, mapping, and shape models
- Automated feature detection and change detection
- Image data processing, calibration, and analysis for space missions
- Tomography for Earth system remote sensing
- Visualization frameworks and open source tools for uncertainty analysis
Prior to joining SSI, Mauricio spent several years at the NASA Jet Propulsion Laboratory, where he contributed with 3D computer vision algorithms for the Mars 2020 Perseverance rover and Ingenuity helicopter, designed geolocation methods for NASA's Orbiting Carbon Observatory (OCO-3) and Surface Biology and Geology (SBG) missions, developed algorithms for cloud and water vapor tomography, and also contributed with imagery compression and visualization pipeline support for NASA Worldview/GIBS, which now serves millions of users worldwide.
Mauricio graduated with a PhD in Electrical and Computer Engineering from the University of California, Davis, in conjunction with Lawrence Livermore National Laboratory as a fellow. He currently resides in Ann Arbor, Michigan. Non-scientific hobbies include traveling, photography, hiking, and watching movies.