Applied machine learning researcher working in healthcare and medical data science, with current emphasis on clinical microbiology, trustworthy biomedical AI, and open-source translational software. My long-term goal is to build an independent research group focused on clinical AI systems that help health professionals and biomedical researchers solve real problems with multimodal data.
My profile combines competitive funding, collaborative translational research, supervision, and open science. I hold a Marie Skłodowska-Curie Postdoctoral Fellowship (MSCA PF), and my work spans microbiology, speech, cardiology, and medical imaging under a common agenda of applied AI for health.
I have 23 papers (16 peer-reviewed and 7 under review), including 6 first/co-first-author and 2 senior/last-author papers. My Google Scholar profile reports an h-index of 9 and 263 citations (updated August 31, 2026).
07/2025–: Postdoctoral researcher (Prof. Adrian Egli’s group)
2024-2025: Visiting professor in Data science
2023-2024: Postdoctoral researcher
2020-2023: Ph.D. Candidate
2019-2020: Research Assistant
2017-2018: Research Assistant
2018-2019: Telecommunication Engineer
Published in Briefings in Bioinformatics, 2026
Recommended citation: Schmidt-Santiago, L., Guerrero-López, A., Sevilla-Salcedo, C., Rodríguez-Temporal, D., Rodríguez-Sánchez, B., & Gómez-Verdejo, V. (2026). A systematic review of machine learning on clinical MALDI-TOF MS. Briefings in Bioinformatics, 27(3), bbag208. https://doi.org/10.1093/bib/bbag208
Published in Expert Review of Anti-infective Therapy, 2026
Recommended citation: Giacobbe, D. R., Ahmad, R., Akilli, F. M., Ascandari, A., Eyre, D. W., Gallardo-Pizarro, A., ... & Guerrero-López, A. (2026). How ready are we to use artificial intelligence in our fight against Antimicrobial resistance? An ESGAID and EAAS perspective. Expert Review of Anti-infective Therapy, (just-accepted). https://doi.org/10.1080/14787210.2026.2625382
Published in IEEE Open Journal of Intelligent Transportation Systems, 2025
Recommended citation: Larese, D. C., Cerrada, A. B., Tomei, G. D., Guerrero-López, A., Olmos, P. M., & Gómez García, M. J. (2025). Transformer Vibration Forecasting for Advancing Rail Safety and Maintenance 4.0. IEEE Open Journal of Intelligent Transportation Systems, 6, 1612–1624. https://doi.org/10.1109/OJITS.2025.3638611
Published in Microbes and Infection, 2025
Recommended citation: Greutmann, M., Borgwardt, K., Brüningk, S., Franzeck, F., Giske, C. G., Green, A. G., ... & Egli, A. (2025). ESCMID workshop: Artificial Intelligence and Machine Learning in Medical Microbiology Diagnostics. Microbes and Infection, 105562. https://doi.org/10.1016/j.micinf.2025.105562
Published in Data in Brief, 2025
Recommended citation: Sun, Y., Guerrero-López, A., Arias-Londoño, J. D., & Godino-Llorente, J. I. (2025). CT-SCOPE: annotated dataset of CT SCans for the automatic semantic segmentation of the Osseous structures of the Paranasal sinusEs. Data in Brief, 111962. https://doi.org/10.1016/j.dib.2025.111962
Published in IEEE Access, 2025
Recommended citation: Moure Prado, Á., Guerrero-López, A., Arias-Londoño, J. D., & Godino-Llorente, J. I. (2025). Bayesian automatic screening of pneumonia and lung lesions localization from CT scans. A combined method toward a more user-centred and explainable approach. IEEE Access, 13, 3607282. https://doi.org/10.1109/ACCESS.2025.3607282
Published in BMC Bioinformatics, 2025
A web-based translational tool for automated Clostridioides difficile ribotype typing from MALDI-TOF MS data.
Recommended citation: Blázquez-Sánchez, M.*, Guerrero-López, A.*, Candela, A., Belenguer-Llorens, A., Moreno, J. M., Sevilla-Salcedo, C., ... & Rodríguez-Sánchez, B. (2025). Automated web-based typing of Clostridioides difficile ribotypes via MALDI-TOF MS. BMC Bioinformatics, 26(1), 181. https://doi.org/10.1186/s12859-025-06200-6
Published in Computerized Medical Imaging and Graphics, 2025
Medical image segmentation of paranasal sinus osseous structures for clinically relevant CT analysis.
Recommended citation: Sun, Y., Guerrero-López, A., Arias-Londoño, J. D., & Godino-Llorente, J. I. (2025). Automatic semantic segmentation of the osseous structures of the paranasal sinuses. Computerized Medical Imaging and Graphics, 123, 102541. https://doi.org/10.1016/j.compmedimag.2025.102541
Published in Scientific Data, 2024
Recommended citation: Mendes-Laureano, J., Gómez-García, J. A., Guerrero-López, A., et al. (2024). NeuroVoz: a Castillian Spanish corpus of parkinsonian speech. Scientific Data, 11, 1367. https://doi.org/10.1038/s41597-024-04186-z
Published in Scientific Data, 2024
Recommended citation: Hernández-García, E., Guerrero-López, A., Arias-Londoño, J. D., et al. (2024). A voice and speech corpus of patients who underwent upper airway surgery in pre- and post-operative states. Scientific Data, 11, 746. https://doi.org/10.1038/s41597-024-03540-5
Published in Engineering Applications of Artificial Intelligence, 2024
Explainable deep learning for atrial fibrillation detection from PPG-derived matrix representations.
Recommended citation: Fuster-Barceló, C., Guerrero-López, A., Camara, C., & Peris-Lopez, P. (2024). Exploring the Power of PPG Matrix for Atrial Fibrillation Detection with Integrated Explainability. Engineering Applications of Artificial Intelligence, 133, 108325. https://doi.org/10.1016/j.engappai.2024.108325
Published in Engineering Applications of Artificial Intelligence, 2023
Recommended citation: López, A., Guerrero-López, A., Olmos, P. M., & Gómez, M. J. (2023). Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks. Engineering Applications of Artificial Intelligence, 126, 106840. https://doi.org/10.1016/j.engappai.2023.106840
Published in Journal of Clinical Microbiology, 2023
Supervised learning for species-level discrimination within the Enterobacter cloacae complex using routine MALDI-TOF measurements.
Recommended citation: Candela, A.*, Guerrero-López, A.*, Mateos, M., Gómez-Asenjo, A., Arroyo, M. J., Hernández-García, M., del Campo, R., Cercenado, E., Cuénod, A., Méndez, G., Mancera, L., Caballero, J. D., Martínez-García, L., Gijón, D., Morosini, M. I., Ruiz-Garbajosa, P., Egli, A., Cantón, R., Muñoz, P., Rodríguez-Temporal, D., & Rodríguez-Sánchez, B. (2023). Automatic Discrimination of Species within the Enterobacter cloacae Complex Using Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry and Supervised Algorithms. Journal of Clinical Microbiology, e01049-22. https://journals.asm.org/doi/abs/10.1128/jcm.01049-22
Published in Engineering Applications of Artificial Intelligence, 2023
Machine learning for rapid antibiotic-resistance prediction in Klebsiella pneumoniae directly from routine MALDI-TOF mass spectra.
Recommended citation: Guerrero-López, A., Sevilla-Salcedo, C., Candela, A., Hernández-García, M., Cercenado, E., Olmos, P. M., Cantón, R., Muñoz, P., Gómez-Verdejo, V., del Campo, R., & Rodríguez-Sánchez, B. (2023). Automatic antibiotic resistance prediction in Klebsiella pneumoniae based on MALDI-TOF mass spectra. Engineering Applications of Artificial Intelligence, 118, 105644. https://www.sciencedirect.com/science/article/pii/S0952197622006340
Published in Neurocomputing, 2022
Recommended citation: Sevilla-Salcedo, C., Guerrero-López, A., Olmos, P. M., & Gómez-Verdejo, V. (2022). Bayesian Sparse Factor Analysis with Kernelized Observations. Neurocomputing. https://doi.org/10.1016/j.neucom.2022.03.024
Published in Multimedia Tools and Applications, 78, 2019
Recommended citation: Perales, F. J., Riera, L., Ramis, S., Guerrero-López, A. (2019). Evaluation of a VR system for Pain Management using binaural acoustic stimulation. Multimed Tools Appl, 78, 32869–32890. https://link.springer.com/article/10.1007/s11042-019-07953-y
Published in medRxiv, 2026
A deep learning framework for rapid MALDI-TOF-based strain typing across four clinically important bacterial species, including external validation and interpretable spectral signatures.
Recommended citation: Nguyen, H.-A., Peleg, A. Y., Song, J., Vezina, B., Egli, A., Guerrero-López, A., Blakeway, L. V., Wisniewski, J. A., Badoordeen, G. Z., Theegala, R., Doan, N. Q., Dowe, D. L., & Macesic, N. (2026). MALDI-ST: A deep learning-based framework for rapid bacterial strain typing using MALDI-TOF mass spectra. medRxiv. https://doi.org/10.64898/2026.08.08.26359928
Published in Research Square, 2026
A rapid LAMP-based assay for detecting Escherichia coli and the urosepsis-associated papGII virulence factor directly from urine specimens.
Recommended citation: Rogenmoser, J., Guerrero-López, A., Nolte, O., Quiblier, C., Hinic, V., Kolesnik-Goldmann, N., Biggel, M., & Egli, A. (2026). Development and validation of a LAMP assay for rapid detection of Escherichia coli associated UTIs with increased risk of urosepsis. Research Square. https://doi.org/10.21203/rs.3.rs-9836245/v1
Published in bioRxiv, 2025
A large open MALDI-TOF MS resource created to support clinical microbiology machine learning, benchmarking, and translational data-driven applications.
Recommended citation: Santiago, L. S., López-Mareca, I., Blázquez-Sánchez, M., Moreno, J. M., Sevilla-Salcedo, C., Gómez-Verdejo, V., Rodríguez-Sánchez, B., Rodríguez-Temporal, D., & Guerrero-López, A. (2025). MARISMa: a routine MALDI-TOF MS database from 2018 to 2024. bioRxiv. https://doi.org/10.1101/2025.05.31.657186
Published in bioRxiv, 2024
A machine learning approach for automated strain surveillance of Escherichia coli in clinical settings.
Recommended citation: Rodríguez Palomo, R., Guerrero-López, A., Sevilla-Salcedo, C., Rodríguez-Temporal, D., Rodríguez-Sánchez, B., & Gómez-Verdejo, V. (2024). Automatic surveillance of Escherichia coli bacteriological strains within clinical settings. bioRxiv. https://doi.org/10.1101/2024.11.05.622049
Published in bioRxiv, 2024
Recommended citation: Guerrero-López, A., Antón, L. B., Blázquez-Sánchez, M., Schmidt-Santiago, L., Sevilla-Salcedo, C., Rodríguez-Temporal, D., Rodríguez-Sánchez, B., & Gómez-Verdejo, V. (2024). Overcoming variability challenges for Clostridioides difficile via data augmentation techniques. bioRxiv. https://doi.org/10.1101/2024.10.29.620907
Published in techRxiv, 2024
A model for automatic phonemic grouping in parkinsonian speech, aimed at robust speech-based digital biomarkers.
Recommended citation: Guerrero-López, A., Arias-Londoño, J. D., Shattuck-Hufnagel, S., et al. (2024). MARTA: a model for the automatic phonemic grouping of the parkinsonian speech. TechRxiv. http://dx.doi.org/10.36227/techrxiv.171084943.31044695/v1
Published in arXiv, 2022
Recommended citation: Guerrero-López, A., Sevilla-Salcedo, C., Gómez-Verdejo, V., & Olmos, P. M. (2022). Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space. arXiv. https://arxiv.org/abs/2207.09185
Published in Interaccion 2019 at San Sebastián, Spain., 2019
Recommended citation: Ramis, S., Perales, F., Guerrero-López, A., & Buades Rubio, J. M. (2019). Interacción basada en robots sociales para la evaluación de expresiones faciales. https://www.researchgate.net/publication/334204484_Interaccion_basada_en_robots_sociales_para_la_evaluacion_de_expresiones_faciales
Published in bioRxiv, 2025
Recommended citation: Santiago, L. S., López-Mareca, I., Blázquez-Sánchez, M., Moreno, J. M., Sevilla-Salcedo, C., Gómez-Verdejo, V., Rodríguez-Sánchez, B., Rodríguez-Temporal, D., & Guerrero-López, A. (2025). MARISMa: a routine MALDI-TOF MS database from 2018 to 2024. Zenodo. https://zenodo.org/records/14218003
Published in Zenodo, 2024
Recommended citation: Hernández-García, E., Guerrero-López, A., Arias-Londoño, J. D., et al. (2024). CUCO Database: A voice and speech corpus of patients who underwent upper airway surgery in pre- and post-operative states [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10256802
Published in Zenodo, 2024
An open Castilian Spanish speech corpus designed to support Parkinson-related speech analysis and digital biomarker research.
Recommended citation: Mendes-Laureano, J., Gómez-García, J. A., Guerrero-López, A., Luque-Buzo, E., Arias-Londoño, J. D., Grandas-Pérez, F. J., & Godino-Llorente, J. I. (2024). NeuroVoz: a Castillian Spanish corpus of parkinsonian speech (1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10777657
Published in Zenodo, 2023
Recommended citation: Blázquez-Sánchez, M., Guerrero-López, A., Candela, A., Sánchez-Cueto, M., Marín, M., Jiménez-Navarro, L., et al. (2023). MALDI-TOF spectra of Clostridioides difficile Ribotypes. Zenodo. https://doi.org/10.5281/zenodo.10370872
Published in Universidad Carlos III de Madrid, 2023
Recommended citation: Guerrero-López, A. J. (2023). Clinical microbiology with multi-view deep probabilistic models. http://aguerrerolopez.github.io/files/Tesis_GuerreroLopez_AlejandroJorge_FormatoWeb.pdf
I have contributed to 11 taught courses, supervised 3 BSc theses and 8 MSc theses, and I currently co-supervise 4 PhD students.
Invited talk at BioMET '26 - International Conference on Biomaterials, Bioengineering, and Biotheranostics, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India
Invited talk at Department of Clinical Microbiology, Christian Medical College (CMC) Vellore, Vellore, Tamil Nadu, India
Invited talk at Master program Applied Computational Life Science, ZHAW, ZHAW, Switzerland
PhD defense at PhD Defense, Universidad Carlos III de Madrid, Universidad Carlos III de Madrid, Madrid, Spain
Seminar presentation at Cambridge Ellis Machine Learning Summer School, University of Cambridge, Cambridge, United Kingdom
Seminar presentation at 9ª Jornada de Investigación e Innovación IISGM, Hospital General Universitario Gregorio Marañón, Madrid, Spain
Seminar presentation at Servicio de Microbiología, Hospital General Universitario Gregorio Marañón, Madrid, Spain
Seminar presentation at Seminarios Alberto Tejedor, Hospital General Universitario Gregorio Marañón, Madrid, Spain
Podium presentation at Mass Spectometry & Advances in the Clinical LAB 2021, Salzburg, Austria
Hands-on workshop at BioMET '26 pre-conference workshop: Clinical AI Transforming Diagnosis, Treatment & Beyond, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India
Instructor at ESCMID course organised by ESGMD and the Swiss Society for Microbiology, University of Zurich, Zurich, Switzerland
Local organising committee member at Research Laboratory of Electronics (RLE), Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, USA