Summary
Geophysicist and PhD candidate with 6+ years of experience in seismic monitoring, induced seismicity, and AI-driven geoscience workflows. Skilled in Python, seismic network design, and data automation for energy and environmental applications. Seeking to apply geophysical and machine learning expertise to industry challenges in energy and hazard assessment.
Core Expertise
- Earthquake Monitoring
- Machine Learning for Seismology
- Induced Seismicity
Education
- 2024 PhD Candidate in Geoscience, The University of Texas at Dallas
- 2020 M.Sc. in Earth Sciences, Geophysics, Universidad Nacional de Colombia
- 2019 B.S. in Physics, Universidad de Antioquia
Professional Experience
2023 Seismologist LatAM, ESG Solutions.
- Seismologist and Sales Lead for LatAm projects.
- Delivered technical support for seismic data acquisition in oil and gas projects across Latin America.
- Acted as primary technical liaison with clients, ensuring data quality and project success.
2021–2023 Seismologist, contributing to Ecopetrol Seismology projects
- Designed and implemented local seismic networks near disposal wells.
- Developed quality control protocols and interpreted induced seismicity events.
2019–2021 Seismic Analyst, Colombian National Seismic Network
- Processed seismic data from the National Seismological Network.
- Verified network signal quality and ensured operational reliability.
Academic Experience
2024 Graduate Teaching Assistant, The University of Texas at Dallas
- Supported research on AI-based earthquake monitoring methods: earthquake detection, phase association, earthquake location, and magnitude estimation.
- Taught courses in Mathematics in Geoscience, Environmental Geophysics, and Field Camp.
2021 Graduate Teaching Assistant, Universidad Nacional de Colombia
2018–2019 Undergraduate Teaching Assistant, Universidad Nacional de Colombia
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## Courses & Professional Development
* Oil and Gas Industry Operations and Markets – Duke University (Coursera)
* Unsupervised Learning, Recommenders, Reinforcement Learning – Stanford Online (Coursera)
* Deep Learning Specialization – DeepLearning.AI (Coursera)
* Sequence Models
* Convolutional Neural Networks
* Structuring Machine Learning Projects
* Improving Deep Neural Networks: Hyperparameter Tuning
* Neural Networks and Deep Learning
* TensorFlow Developer – DeepLearning.AI (Coursera)
* Fundamentals of Scalable Data Science – IBM (Coursera)
## Awards & Honors
* 08/2025 – James L. Carter Fellowship Scholarship, University of Texas at Dallas
* 05/2025 – Travel Grant, CRESCENT Machine Learning Technical Short Course, Seattle, WA
* 04/2025 – SEG/Chevron Student Leadership Symposium Travel Grant, IMAGE Conference
* 04/2025 – Vice President, SEG Student Chapter, UT Dallas
* 08/2024–12/2025 – UTD Graduate Teaching Scholarship
* 03/2024 – NSM McDermott PhD Admission Fellowship ($5,000 USD)
* 03/2023 – Meritorious Distinction, M.Sc., National University of Colombia
* 01/2021 – 100% Academic Fee Waiver Scholarship (M.Sc.)
* 10/2020 – Undergraduate Teaching Assistant Scholarship
* 10/2019 – Highest Academic Semester Honors, University of Antioquia
* 05/2019 – First Place, Seventh Symposium of Exact and Natural Sciences, University of Antioquia