Rafael Pires De Lima

Rafael Pires de Lima is a data scientist at VerAI Discoveries, specializing in machine learning and deep learning methodologies, particularly for mineral target generation. With a robust academic background, including a PhD in Geophysics and Seismology, Rafael has held various positions, such as a postdoctoral associate at the University of Colorado Boulder, where new algorithms for sea ice mapping were developed using Synthetic Aperture Radar data. Prior roles include geoscience researcher and geophysicist at Serviço Geológico do Brasil - CPRM, where machine learning algorithms for geoscience were created, and a graduate research assistant at Los Alamos National Laboratory focusing on the integration of geoscience data. Rafael has extensive skills in Python, R, and Julia, and a solid foundation in processing seismic and geophysical data from experiences at Schlumberger and Microsurvey.