My name is Marc Albesa, I am from Tortosa and I love learning new skills. Have a look at my background below!

Education

  • Bachelor’s Degree in Biomedical Engineering at University of Barcelona (2020 – 2024)
    • Final project: Monitoring Physiological Responses of Lung Epithelial Cells to Particulate Matter Exposure using Unsupervised Deep Learning. Grade: 9.6
  • Master’s Degree in Health Data Science at Universitat Rovira i Virgili (2024 – present)
  • Additional training: Completed Deep Learning and Image Processing courses on DataCamp (2022 – 2024)

Experience

  • Academic Intern at Mechanobiology of the Cytoskeleton Research Group, Hospital Clínic (2023 – 2024)
    • Focus on cell culture biology and deep learning applied to biomedical imaging

Projects

  • Real-time polyp segmentation from endoscopy images using UNet
  • Deep Adaptive Clustering algorithm migration to TensorFlow 2.x
  • AI-powered stressor screening algorithm development

Skills

  • Programming: Python, C++, Arduino, Matlab, SQL, R Studio, Qt QML, LaTeX
  • Technologies: Deep Learning, AI, Image Processing, LTSpice
  • Languages: Catalan (native), Spanish, English (B2 Cambridge)