Machine Learning & AI
Machine learning models for biological prediction and classification tasks, including neural networks and statistical learning approaches.
•
1 min read
🧬Virginia García-Loygorri Arias
(she/her)
Bioinformatics | Biochemistry | Data Science
Bioinformatics and Computational Biology Lab, IMDEA Food Institute
Professional Summary
I am a curious and proactive bioinformatics professional with a passion for science
and integrating biosciences with technology. With a strong foundation in biochemistry and
growing expertise in data analysis and machine learning, I am committed to continuous
learning and collaborative problem-solving. An accomplished athlete and outdoor enthusiast,
I bring discipline, resilience, and teamwork to every project.
Education
MSc in Bioinformatics
2025-09-01
International University of La Rioja (UNIR)
BSc in Biochemistry
2020-09-01
2025-06-30
Complutense University of Madrid (UCM)
Bachibac (Spanish Baccalaureate + French Baccalauréat)
2019-09-01
2020-06-30
IES Condesa Eylo Alfonso
International Academic Year (11th Grade)
2018-08-01
2019-05-31
A&M Consolidated High School
Research Interests
Bioinformatics & Computational Biology
Machine Learning & Data Analysis
Precision Medicine
Innovative Integration of Biosciences & Technology
Projects
Data Analysis & Visualization
Data wrangling, statistical analysis, and visualization projects using Python and R for biological datasets.
•
1 min read
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.
•
1 min read