Leonardo Azevedo

Leonardo Azevedo is an Assistant Professor (with Habilitation since 2021) at the Department of Civil Engineering, Architecture and Georesources, Instituto Superior Técnico, University of Lisbon. His academic journey includes a PhD in Georesources from IST (2013), with visiting periods at Stanford University and Heriot-Watt University, and earlier degrees from Aveiro University. He specializes in geostatistical methods for reservoir characterization and seismic inversion, with applications to carbon sequestration, subsurface modeling, and environmental geophysics.

Research interests focus on integrating geostatistics with advanced computational techniques, including machine learning and generative adversarial networks (GANs), to improve subsurface modeling accuracy. Key areas include seismic inversion for reservoir properties, uncertainty quantification, and geophysical data interpretation.

He has supervised numerous PhD and MSc students, with topics ranging from geostatistical CO2 plume modeling to seismic oceanography. Awards include the Fulbright Scholarship (2018-2019) and recognition for top-tier SEG conference contributions (2015). His work has been published in journals like Geophysics, Computational Geosciences, and Mathematical Geosciences.

He leads the EVOLVE team (2018) and advises student chapters of SEG and SPE. Current funded projects include the SMART project for marine debris monitoring and stochastic rock physics inversion research. His industry experience includes roles at Parallel Geoscience and CGG, bridging academic and applied geophysics.