Contact Information
Assistant professor
Carlos Quesada
is a data scientist and university lecturer with a background in Telecommunications Engineering and a PhD in Mechanical Engineering. His work bridges data science, machine learning, and artificial intelligence, with applications spanning energy analytics, sustainability, biomedical modeling, and beyond. Passionate about transforming data into meaningful insights, he combines research, teaching, and outreach across disciplines. http://www.quesadagranja.com/
My experience & years of education
Education
2012-2017
PhD
in Mechanical Engineering (cum laude, international mention), University of Zaragoza [PhD thesis: Real-Time Simulation of Surgery Using Proper Generalized Decomposition Techniques]
Professional Experience
2025-present
Assistant Professor
University of Alicante
2023-2025
Assistant Professor
University of Deusto
2019–2020
Data Scientist (Research Associate)
University of Deusto
2017–2018
Postdoctoral Researcher in Data Science
Université de Technologie de Compiègne (France)