Miriam López Máñez

Biomedical Engineer specialized in AI | Medical Imaging Analyst | Data Scientist

Valencia, Valencian Community, Spain

About

As a Biomedical Engineer specialized in medical imaging, biomedical signals, bioinformatics, and telemedicine, I'm excited to make a significant impact in the healthcare sector. My academic background equips me with the latest knowledge and skills necessary to contribute to the ever-evolving field of biomedical engineering. I have a particular passion for the implementation of artificial intelligence techniques in healthcare. I firmly believe that AI has the potential to transform the healthcare sector, making diagnoses and treatments more precise and accessible. I look forward to connecting with professionals and organizations that share my enthusiasm for AI in healthcare. Let's collaborate and explore how we can shape the future of healthcare together.

Experience

  • Data Scientist at Fisabio foundation
    Sep 2025 - Present · 11 mos

  • Data Engineer at University of Valencia
    Oct 2024 - Mar 2025 · 6 mos

    Design and development of an interactive tool for analyzing gender-based violence using R/Shiny

  • Biomedical Data Scientist at Universidad Miguel Hernández de Elche
    Apr 2024 - Aug 2024 · 5 mos

    Implementation of Artificial Intelligence and automatic image processing for the assessment of body composition and systemic inflammation in colorectal cancer.

  • Junior Researcher in Data Science at INGENIO (CSIC-UPV)
    Jan 2023 - Jul 2023 · 7 mos

    I researched and categorized AI techniques in medical imaging for COVID-19 identification, diagnosis, and prognosis. I designed and implemented a user-friendly database for efficient data collection and organization, and presented the research findings in a clear and comprehensive manner, simplifying the interpretation of key insights.

  • AI Image Analysis Intern at SubstrateAI
    Apr 2023 - Jun 2023 · 3 mos

    During my internship at SUBSTRATE AI, I had the opportunity to work on an exciting project in the field of computer vision and artificial intelligence. I developed a specialized Convolutional Neural Network for the identification of the position and body region of animal images. To accomplish this goal, I implemented image processing techniques, data augmentation, and transfer learning.