Mr. Álvaro Torres Martos | Healthcare Applications | Best Researcher Award

Mr. Álvaro Torres Martos | Healthcare Applications | Best Researcher Award

Álvaro Torres Martos at University of Granada, Spain

Profiles

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Orcid

Education

  • Master’s Degree in Bioinformatics and Biostatistics
    Open University of Catalonia (UOC), 2021-2022
  • Bachelor’s Degree in Biochemistry
    University of Granada (UGR), 2016-2020

🔬 Research Experience

  • Pre-doctoral Researcher (2023-2026)
    EXOMAIR Project, University of Granada
    Focus: Precision medicine and the impact of the exposome on metabolic health using AI.
  • Academic Visitor (2024)
    University of Oxford
    Research: Dietary and behavioral phenotypes in relation to non-communicable disease risk, leveraging a multi-omics approach.
  • Bioinformatic Researcher (2022-2023)
    ACTIBATE Project, University of Granada
    Research: Molecular translators of exercise and brown adipose tissue activation.
  • Faculty Member (2023-2026)
    Department of Biochemistry and Molecular Biology II, University of Granada

🏆 Achievements and Contributions

Mr. Álvaro is the proud winner of the III Bioinformatics Datathon, organized by the University of Granada. He is also one of the main developers of the Shiny app ObMetrics, a tool designed to calculate a wide range of Metabolic Syndrome outputs tailored to pediatric patients. His involvement in numerous national and international congresses through posters and oral presentations further showcases his active engagement in the research community.

🛠️ Skills and Certifications

Mr. Álvaro has completed several courses to enhance his technical expertise, including R/RStudio/Shiny, Python, and LaTeX. He has also gained specialized knowledge in GWAS analysis, exposome studies, and systematic reviews/meta-analyses. In 2019, he earned a Certificate of Integrated Skills in English (Level B2) from Trinity College London. Most recently, in 2024, he completed micro-courses with Twenix on Data Science and Strategies for Advanced Learning.

 

Publications

Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study

  • Authors: Álvaro Torres-Martos, Augusto Anguita-Ruiz, Mireia Bustos-Aibar, Alberto Ramírez-Mena, María Arteaga, Gloria Bueno, Rosaura Leis, Concepción M Aguilera, Rafael Alcalá, Jesús Alcalá-Fdez
  • Year: 2024

Leveraging Machine Learning and Genetic Risk Scores for the Prediction of Metabolic Syndrome in Children with Obesity

  • Authors: Concepción M Aguilera, Mireia Bustos-Aibar, Augusto Anguita-Ruiz, Álvaro Torres-Martos, Gloria Bueno, Rosaura Leis, Jesús Alcalá-Fernández
  • Year: 2024

Omics data preprocessing for machine learning: A case study in childhood obesity

  • Authors: Álvaro Torres-Martos, Mireia Bustos-Aibar, Alberto Ramírez-Mena, Sofía Cámara-Sánchez, Augusto Anguita-Ruiz, Rafael Alcalá, Concepción M Aguilera, Jesús Alcalá-Fdez
  • Year: 2023

Impact of physical activity and exercise on the epigenome in skeletal muscle and effects on systemic metabolism

  • Authors: Julio Plaza-Diaz, David Izquierdo, Álvaro Torres-Martos, Aiman Tariq Baig, Concepción M Aguilera, Francisco Javier Ruiz-Ojeda
  • Year: 2022

Human multi-omics data pre-processing for predictive purposes using machine learning: a case study in childhood obesity

  • Authors: Álvaro Torres-Martos, Augusto Anguita-Ruiz, Mireia Bustos-Aibar, Sofia Cámara-Sánchez, Rafael Alcalá, Concepción M Aguilera, Jesús Alcalá-Fdez
  • Year: 2022