López Martínez-Carrasco Antonio

Position: Postdoctoral researcher · Computer Science Faculty · University of Murcia
Research Topics: Artificial Intelligence · Machine Learning · Data Mining · Medical Informatics

Postdoctoral researcher at Med AI Lab (Computer Science Faculty, University of Murcia, Spain).

Curriculum Vitae in Europass format: English, Spanish.

PhD Thesis: English, Spanish.


Publications


Teaching

University of Murcia · Faculty of Computer Science · BSc in Computer Science

Software Development Processes (Procesos de Desarrollo de Software) · 80 hours (8 ETCS)
2024/2025

University of Murcia · Faculty of Computer Science · BSc in Computer Science

Software Development Processes (Procesos de Desarrollo de Software) · 45 hours (4.5 ETCS)
2023/2024

University of Murcia · Faculty of Computer Science · BSc in Computer Science

Software Development Processes (Procesos de Desarrollo de Software) · 60 hours (6 ETCS)
2022/2023

University of Murcia · Faculty of Computer Science · BSc in Computer Science

Software Development Processes (Procesos de Desarrollo de Software) · 60 hours (6 ETCS)
2021/2022

University of Murcia · Faculty of Computer Science · BSc in Computer Science

Software Development Processes (Procesos de Desarrollo de Software) · 60 hours (6 ETCS)
2020/2021

Internationalization

Postdoc at University of Hamburg (Germany)

Since Sept. 2025 · Supervised by Dr. Jan Baumbach

Member of the Postdoctoral Network in Artificial Intelligence

Since Nov. 2024 · German Academic Exchange Service (DAAD) · AInet Fellows 11/2024 (AI for Science)

Research Stay at King's College London (United Kingdom)

Sept. - Dec. 2022 · Supervised by Dr. Martin Chapman

Research Stay at Leiden University (The Netherlands)

Sept. - Nov. 2021 · Supervised by Dr. Matthijs van Leeuwen

Software

Subgroups

Subgroups is a public, accessible, and open-source Python library designed to ease the use of Subgroup Discovery (SD) algorithms for machine learning and data science.
Resources: Webpage, GitHub Repo, Paper

Phenoflow-ML

Phenoflow-ML is a next-generation phenotyping framework that offers novel and powerful capabilities for ML-based phenotyping. This software is a result of my research stay at King's College London.
Resources: Webpage, GitHub Repo, Paper