Danilo Chamorro
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Danilo Chamorro Email & Phone Number

Numerical Geophysicist | AI Engineer at KAUST (King Abdullah University of Science and Technology)
Location: Medellín, Antioquia, Colombia 3 work roles 3 schools
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Role
Numerical Geophysicist | AI Engineer
Location
Medellín, Antioquia, Colombia

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Danilo Chamorro is listed as Numerical Geophysicist | AI Engineer at KAUST (King Abdullah University of Science and Technology), based in Medellín, Antioquia, Colombia. AeroLeads shows a matched LinkedIn profile for Danilo Chamorro.

Danilo Chamorro previously worked as Graduate Researcher at Kaust (King Abdullah University Of Science And Technology) and Geophysics assistant at Agg - Applied Geology And Geophysics. Danilo Chamorro holds Master Of Science - Ms, Geological And Earth Sciences/Geosciences, 3.76/4 from Kaust (King Abdullah University Of Science And Technology).

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KAUST (King Abdullah University of Science and Technology)

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About Danilo Chamorro

As a recent graduate with a Master of Science degree in Earth Sciences and Engineering from King Abdullah University of Science and Technology (KAUST), I specialize in applying machine learning techniques to enhance near-surface imaging and seismic analysis. I developed a novel method to predict surface wave dispersion curves, improving the MASW seismic method’s reliability, and proposed using medical imaging techniques for cost-effective seabed exploration at wind farms. My experience includes geophysical services and data analysis, with internships at Ecopetrol and AGG, where I implemented Python and Matlab codes for automated classification and geoelectrical resistivity inversion. I am eager to contribute to innovative projects, leveraging my expertise in machine learning, data science, and geosciences to advance seismic project analysis and remote sensing data integration.

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KAUST (King Abdullah University of Science and Technology)
Kaust (King Abdullah University Of Science And Technology)
Numerical Geophysicist | AI Engineer
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3 roles

Danilo Chamorro work experience

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Graduate Researcher

Current

Thuwal, Makkah, Saudi Arabia

Collaboratively created with my mentor and industry partners a new machine learning technique to accurately predict surface wave patterns from initial seismic recordings, boosting the MASW seismic method's reliability and output. Delved into making A.I. more understandable and precise for seismic project analysis. Working with Delft University and Fugro, I suggested using medical imaging methods for seabed exploration at wind farms, which could lower costs and give us a clearer picture of underwater landscapes. I've gained hands-on experience with advanced imaging and sound wave mapping techniques. Our team's work has been well-received at international workshops and is on track for publication, with early findings already accessible. I've also put forward a cutting-edge geophysical approach designed for industrial use, setting a new standard for model quality. My work has pushed the envelope in imaging the Earth's surface, offering not one, but two innovative solutions to common industry challenges.

Feb 2022 - Present

Geophysics Assistant

Medellín, Antioquia, Colombia

Performed analysis of acquired seismic data from engineering projects within the city, doing cross-borehole tomography using Python and Matlab. Enhanced the inversion of geoelectrical resistivity models related to mining exploration and ore modeling. Developed Python codes for automatic reports and presentation of the inversion results. Improved the resolution and quality of the inverted resistivity models by using different regularization techniques.

Sep 2021 - Feb 2022

Intern At Exploration And Geophysics Division

Bogotá, Distrito Capital, Colombia

In collaboration with the geophysical services team, I worked in the development of an automated classifier for circular geological features using the Hough transform, enhancing the exploration of subsurface changes related to oil seepage in Colombia. Leveraging ProMAX, I presented a complex 2D shear-wave velocity and Young's modulus model by integrating and interpreting existing seismic data. My expertise expanded to encompass advanced machine learning and image processing, culminating in a comprehensive geological model that was presented to the division, significantly optimizing the exploration process by incorporating nuanced remote sensing data.

Aug 2021 - Jan 2022
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Danilo Chamorro education

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What company does Danilo Chamorro work for?

Danilo Chamorro works for KAUST (King Abdullah University of Science and Technology).

What is Danilo Chamorro's role at KAUST (King Abdullah University of Science and Technology)?

Danilo Chamorro is listed as Numerical Geophysicist | AI Engineer at KAUST (King Abdullah University of Science and Technology).

Where is Danilo Chamorro based?

Danilo Chamorro is based in Medellín, Antioquia, Colombia while working with KAUST (King Abdullah University of Science and Technology).

What companies has Danilo Chamorro worked for?

Danilo Chamorro has worked for Kaust (King Abdullah University Of Science And Technology), Agg - Applied Geology And Geophysics, and Ecopetrol.

How can I contact Danilo Chamorro?

You can use AeroLeads to view verified contact signals for Danilo Chamorro at KAUST (King Abdullah University of Science and Technology), including work email, phone, and LinkedIn data when available.

What schools did Danilo Chamorro attend?

Danilo Chamorro holds Master Of Science - Ms, Geological And Earth Sciences/Geosciences, 3.76/4 from Kaust (King Abdullah University Of Science And Technology).

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