CV

Researcher

Universidad de Valencia, Spain

Research on generative models and vision science.

• Supervised by Prof. Jesus Malo

Visiting Research Scholar

CinfonIA Research Group, Universidad de los Andes, Colombia

Research on wildlife image segmentation.

• Supervised by Prof. Pablo Arbelaez

Intern

Télécom Paris, Institut Polytechnique de Paris, France

Research on domain adaptation in computer vision for biodiversity monitoring.

• Supervised by Dr. Jhony H. Giraldo

Researcher

SISTEMIC Research Group, Universidad de Antioquia, Colombia

Identification of the transformation in the Colombian forest based on acoustic analysis.

• Integration of foundation models for wildlife monitoring

Teaching Assistant

Universidad de Antioquia, Colombia

Support for the undergraduate course Computer Science I.

• Computer Science I

Junior Researcher

SISTEMIC Research Group, Universidad de Antioquia, Colombia

Identification of the transformation in the Colombian forest based on acoustic analysis.

• Machine learning for monitoring Atlapetes blancae

Teaching Assistant

Universidad de Antioquia, Colombia

Academic tutoring in the course Fundamentals of Digital Electronics.

• Fundamentals of Digital Electronics

PhD

Computer Vision Center, Universitat Autònoma de Barcelona

Computer Science

• Research on color understanding in multimodal models
• Supervised by Dr. Alexandra Gomez-Villa

M.Sc.

Universidad de Antioquia

Engineering

• Thesis: Integration of foundation models for automatic animal identification

B.Sc.

Universidad de Antioquia

Electronics Engineering

• Thesis: Audio vs. Visual Approach to Monitor the Critically Endangered Species Atlapetes blancae: Developing Deep Learning Models with Limited Data

Academic Excellence Award

Universidad de Antioquia

Highest-performing ninth-level student in the Electronics Engineering program.

Academic Excellence Award

Universidad de Antioquia

Highest-performing first-level student in the Electronics Engineering program.

WildIng: A Wildlife Image Invariant Representation Model for Geographical Domain Shift

International Journal of Computer Vision (IJCV), 2026

Proposes an invariant representation model to address geographical domain shift in wildlife imagery.

CATALOG: A Camera Trap Language-guided Contrastive Learning Model

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025

Oral presentation (top ~8%) at WACV 2025. Proposes a language-guided contrastive learning model for camera trap image understanding.

Audio vs. Visual Approach to Monitor the Critically Endangered Species Atlapetes blancae: Developing Deep Learning Models with Limited Data

IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications, 2024

Compares deep learning approaches using limited audio and visual data for endangered species monitoring.