Curriculum Vitae

Work experience

• Visiting Researcher at MIA group, University of Bern, Switzerland, May 2024 - Aug 2024
  • Member of ARTORG - Center for Biomedical Engineering Research, University of Bern
• Teaching Assistant, Menéndez Pelayo International University, Spain, Oct 2023 - present
  • Deep Learning subject, Master’s Degree in Artificial Intelligence Research

• Senior AI/ML Ops, MAPFRE, Spain, May 2022 - Jan 2025

• Data Scientist, Accenture - The Dock Innovation Hub, Ireland, Sep 2021 - May 2022

• Data Scientist & ML engineer, Telefonica, Spain, Sep 2019 - Sep 2021

Education

• PhD in Artificial Intelligence, University of Oviedo, Spain (2022-present)
  • Thesis title: Improving Biomedical Image Analysis through Deep Learning Techniques
  • Thesis advisors: Dr. Beatriz Remeseiro, Dr. Jorge Díez
  • Member of Machine Learning Group, Artificial Intelligence Center, University of Oviedo
• Master’s degree in Artificial Intelligence Research, Menéndez Pelayo International University, Spain (2021)
  • Master thesis at IFCA: Automatic Glioma Segmentation on MRI.
• Bachelor’s degree in Physics, Complutense University of Madrid, Spain (2016)

Technical skills

• Programming Languages/Frameworks: Python (Pytorch, MONAI, Pyspark, ..), R, SQL
• Developer Tools: Linux, Version Control Systems, Airflow, MongoDB
• Analytics: Tableau, Power BI, Streamlit
• Cloud services: Azure, AWS

Others: Review services, teachings, awards

Teaching Experience

• Teaching assistant, Deep learning course, 2024/25
• Teaching assistant, Deep learning course, 2023/24

Supervised Thesis

• Co-supervisor for a bachelor’s thesis - Breast tumor segmentation using ultrasound images, 2024/25
• Co-supervisor for a master’s thesis - Breast tumor segmentation using ultrasound images, 2023/24
• Co-supervisor for a bachelor’s thesis - Applied machine learning to insurance industry, 2022/23

Reviewer for Scientific Journals and Peer-Review Conferences

• 7 Peer-reviewed paper for Biomedical Signal Processing and Control journal, Elsevier editorial
• 3 Peer-reviewed paper for Computer-Based Medical Systems, IEEE International Symposium

Honors and Awards

• Award “Best Poster of the Engineering and Architecture field at the XII Doctoral Symposium of the University of Oviedo (2023)”. Title work: “BTS-Unet: A Data-Driven approach to brain tumor segmentation through deep learning”.

Conferences attendance

• I Workshop of the Spanish Society of Artificial Intelligence in Biomedicine, 2024
• Bern Interpretable AI Symposium for Medical Imaging (BIAS), 2023
• XII Doctoral Symposium of the University of Oviedo, 2023

Organization of Scientific Events

• Member of the local organizing committee, Summer School on Artificial Intelligence (EVIA), Gijón, 2025