Contact Information
Assistant Professor
Carlos Cano
is a computer scientist and researcher specializing in artificial intelligence and medical image analysis. His work focuses on developing computational models that interpret complex biomedical data to support diagnosis and advance precision medicine. With experience across universities, hospitals, and industry, he promotes interdisciplinary collaboration and the integration of AI into real clinical workflows. His academic activity reflects a constant balance between methodological innovation and applied research, aiming to transform data into knowledge and technology into better healthcare.
My experience & years of education
Education
2015-2019
PhD in Computer Science
With the thesis entitled “Image-Based Biomarker Localization from Regression Networks.”
Professional Experience
2021–2023
Research Fellow in Radiology
Harvard Medical School (Brigham and Women’s Hospital)
2023–2024
Postdoctoral Researcher at Universidad Politécnica de Cartagena
Development of neural network–based models for automatic detection and classification of keratoconus in ophthalmology.
2025–Present
Assistant Professor at University of Alicante
Teaching and research in computer science, focused on artificial intelligence for healthcare and medical imaging