Academic record
Curriculum vitae
Education, research experience, teaching, awards, professional service, and technical expertise.
Education
Master's degree in Geophysics
Universidad Industrial de Santander
Research experience
Graduate researcher
Semillero de Investigación en Geofísica Aplicada y Computacional (SIGAC), Universidad Industrial de Santander
Works on machine learning for geophysical inversion, with interests in field geology, computational geoscience, and economic and geophysical exploration.
Research participant
Semillero de Geofísica UIS
Participated in research related to machine learning, computational geoscience, and broadband magnetotelluric subsurface exploration.
Selected peer-reviewed publications
2026Imaging-Guided Pattern Optimization for Seismic Acquisition Geometries Design With Deep Learning
IEEE Transactions on Geoscience and Remote Sensing
Poststack seismic data denoising via dynamic guided learning
The Leading Edge
Porphyry-type mineral prospectivity mapping with imbalanced data via prior geological transfer learning
Gondwana Research
Teaching
Organization of Python workshops for geosciences
SEG Student Chapter UIS
Awards
Second place nationally, Datos a la U competition
MinTIC / Government Digital Directorate
Professional activities
Student chapter board member
Society of Exploration Geophysicists (SEG), UIS Student Chapter
Organized workshops on Python applications for geosciences and activities in near-surface geophysical processing and interpretation.
Student chapter board member
Society for Geology Applied to Mineral Deposits, UIS Student Chapter
Organized conferences, courses, field trips, and workshops related to mineral deposits.
Skills
Programming languages & software
Certifications
Artificial Intelligence for Oil and Gas Using Python
American Association of Petroleum Geologists (AAPG)
Técnicas de Machine Learning aplicadas a la predicción mineral con Python
MINEXFIELD