Alba Márquez-Rodríguez - GrunCrow

Computer Scientist specialized in Computer Vision

Passionate about AI, Deep Learning, and Data Analysis

for Ecology and Conservation.

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Hi!

My name is Alba Márquez-Rodríguez, and I am a Computer Engineer from the University of Huelva with a Master's degree in Computational Intelligence and IoT from the University of Córdoba.

Combining my passion for computer science with my deep environmental awareness, I have discovered a strong interest in the intersection of technology and ecology. With a solid background in computer science, I am eager to contribute my skills and knowledge to the field of Artificial Intelligence for conservation purposes.

My research journey began early in my studies, where I published work on machine learning applications and actively participated in national and international conferences. Notably, I attended the Computer Vision for Ecology workshop at Caltech, gaining valuable insights into AI's application in ecological research. Through my involvement in environmental organizations and projects, I am driven to make a positive impact on biodiversity conservation and promote the collection and analysis of non-invasive data for accurate monitoring.

My career has been shaped by a series of impactful projects that merge my technical skills with my passion for environmental conservation. I started as part of the AI-Census project at the University of Huelva, where I developed a hierarchical detector and classifier to analyze camera trap images for biodiversity monitoring in Doñana National Park. Later, I joined the BIRDeep project at the Estación Biológica de Doñana, where I worked on improving bird vocalization identification through acoustic analysis, introducing a bird song detector that reduced false positives in current methods. Currently, I am contributing to the SEANIMALMOVE project at the University of Cádiz, where I develop deep learning models for the automated classification of both avian sounds and submarine acoustic soundscapes. These experiences have deepened my commitment to creating AI-driven tools that enhance conservation efforts, reduce data collection efforts, and improve the accuracy of environmental monitoring.

My goal is to continue expanding my knowledge and skills in the field of AI for ecology and conservation, contributing to the development of innovative solutions that address the challenges faced by environmental researchers and practitioners. I am excited to collaborate with like-minded professionals and organizations to create a sustainable future for our planet.

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