CV

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 clinically grounded 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 was awarded a Marie Sklodowska-Curie Postdoctoral Fellowship (MSCA PF) for OUTBRAID, and my work spans microbiology, speech, cardiology, and medical imaging under a common agenda of applied AI for health.

Academic background

Ph.D. in Bayesian Machine Learning applied to Personalised Medicine, Universidad Carlos III de Madrid, May 2023
M.Sc. in Information Health Engineering, Universidad Carlos III de Madrid, June 2020
B.Sc. in Telematic Engineering, Universitat de les Illes Balears, June 2019

Professional history

Academic experience

07/2025–: Postdoctoral researcher (Prof. Adrian Egli’s group)
- Company: University of Zurich, Institute for Medical Microbiology, Applied Microbiology Research (AMR) lab
- Field: Applied ML to Microbiology
- 07/2025–06/2026: Postdoctoral researcher
- 07/2026–: Marie Skłodowska‑Curie Postdoctoral Fellow (MSCA PF)
2024-2025: Visiting professor in Data science
- Company: UC3M, Signal Theory and Communications Department
- Field: Bayesian ML
2023-2024: Postdoctoral researcher
- Company: Universidad Politécnica de Madrid (UPM), Bioengineering and Optoelectronics Group
- Field: Bayesian ML applied to speech
- Supervisor: Prof. Juan Ignacio Godino Llorente
2020-2023: Ph.D. Candidate
- Company: UC3M, Signal Theory and Communications Department and Gregorio Marañon Health Research Institute, Microbiology and Infectious Diseases Department
- Field: Bayesian ML and its application to microbiology
- Supervisors: Prof. Pablo M. Olmos and Dr. Vanessa Gómez-Verdejo at the university and Dr. Belén Rodríguez-Sánchez at the hospital.
2019-2020: Research Assistant
- Company: Universidad Carlos III de Madrid (UC3M), Signal Theory and Communications Department
- Field: Bayesian ML
- Supervisor: Prof. Pablo M. Olmos
2017-2018: Research Assistant
- Company: Universitat de les Illes Balears, UGIVIA group
- Field: Computer Vision
- Supervisors: Prof. Francisco J. Perales and Dr. Silvia Ramis

Industry experience

2018-2019: Telecommunication Engineer
- Company: ALCORT S.L.
- Field: Fiber to the Home
- Supervisors: Alejandro Cortés and Teresa Reus

Grants obtained

Marie Skłodowska-Curie Postdoctoral Fellowship (European Commission) 01/07/2026 – 30/06/2028
- Project: OUTBRAID — OUTBreak AI-driven Detection: Enhancing MALDI-TOF outbreak detection with multimodal AI
- Supervisor: Prof. Adrian Egli (University of Zurich)
- Highly competitive: 17,066 applicants, 1,610 funded (9.6% success rate)

Publications

I published a total of 16 papers, and 5 are currently under review.

Peer-review journals +

A systematic review of machine learning on clinical MALDI-TOF MS

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

How ready are we to use artificial intelligence in our fight against Antimicrobial resistance? An ESGAID and EAAS perspective

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

Transformer Vibration Forecasting for Advancing Rail Safety and Maintenance 4.0

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

ESCMID workshop: Artificial intelligence and machine learning in medical microbiology diagnostics

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

CT-SCOPE: annotated dataset of CT SCans for the automatic semantic segmentation of the Osseous structures of the Paranasal sinusEs

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

Bayesian automatic screening of pneumonia and lung lesions localization from CT scans. A combined method toward a more user-centred and explainable approach

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

Automated web-based typing of Clostridioides difficile ribotypes via MALDI-TOF MS

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

Automatic semantic segmentation of the osseous structures of the paranasal sinuses

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

NeuroVoz: a Castillian Spanish corpus of parkinsonian speech

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

A voice and speech corpus of patients who underwent upper airway surgery in pre- and post-operative states

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

Exploring the Power of Photoplethysmogram Matrix for Atrial Fibrillation Detection with Integrated Explainability

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

Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks

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

Automatic Discrimination of Species within the Enterobacter cloacae Complex Using Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry and Supervised Algorithms

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

Automatic antibiotic resistance prediction in Klebsiella pneumoniae based on MALDI-TOF mass spectra

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

Bayesian Sparse Factor Analysis with Kernelized Observations

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

Evaluation of a VR system for Pain Management using binaural acoustic stimulation

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

Preprints +

MARISMa: a routine MALDI-TOF MS database from 2018 to 2024

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

Automatic surveillance of Escherichia coli bacteriological strains within clinical settings

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

Overcoming variability challenges for Clostridioides difficile via data augmentation techniques

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

MARTA: a model for the automatic phonemic grouping of the parkinsonian speech

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

Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space

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

Conference proceedings +

Interacción basada en robots sociales para la evaluación de expresiones faciales

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

Datasets +

MARISMa: a routine MALDI-TOF MS database from 2018 to 2024

Published in bioRxiv, 2025

A voice and speech corpus of patients who underwent upper airway surgery in pre- and post-operative states

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

NeuroVoz: a Castillian Spanish corpus of parkinsonian speech

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

MALDI-TOF spectra of Clostridioides difficile Ribotypes

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

Misc +

Clinical Microbiology with Multi-view deep probabilistic models

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

Teaching

I have contributed to 10 taught courses, supervised 3 BSc theses and 8 MSc theses, and I currently co-supervise 3 PhD students.

Selected ongoing PhD co-supervision (in progress)

Yukino Gütlin — Predicting antimicrobial resistance, virulence, and invasiveness from MALDI-TOF MS data. Main supervisor: Prof. Adrian Egli. Co-supervisor: Alejandro Guerrero-López. Started 2024; co-supervising since July 2025.
Eline Meijer — Boosting the resolution of MALDI-TOF mass spectra using transformer-based machine learning. Main supervisor: Prof. Adrian Egli. Co-supervisor: Alejandro Guerrero-López. Started January 2025; co-supervising since July 2025.
Janis Rogenmonser — Advancing antimicrobial resistance prediction from whole-genome sequencing. Main supervisor: Prof. Adrian Egli. Co-supervisor: Alejandro Guerrero-López. Started September 2025; co-supervising since September 2025.

Undergraduate Courses +

Modern Theory of Detection and Estimation — Universidad Carlos III de Madrid, Signal Theory and Communications Department (2021)
Machine Learning Applications — Carlos III International School, Bachelor in Data Science and Engineering (2022)
Neural Networks — Carlos III International School, Bachelor in Data Science and Engineering (2022)
Linear networks analysis and synthesis — Universidad Carlos III de Madrid, Bachelor in Mobile and Space Communications Engineering (2025)
Machine Learning applications — Universidad Carlos III de Madrid, Bachelor in Data Science and Engineering (2025)
Neural Networks — Universidad Carlos III de Madrid, Bachelor in Data Science and Engineering (2025)

Bachelor Theses +

Characterizing train driveshaft damages using accelerometers — Bachelor in Data Science and Engineering, Universidad Carlos III de Madrid (2023)
Connecting MALDI-TOF MS and whole-genome sequencing data in routine diagnostics — Bachelorstudium Medizininformatik, ZHAW School of Engineering (2026)
Automated measurement of disc diffusion images using object detection — Bachelorstudium Medizininformatik, ZHAW School of Engineering (2026)

Master Programs +

Deep Learning — Universidad Carlos III de Madrid, Master in Applied Artificial Intelligence (2022)
AI in Health — Universidad Carlos III de Madrid, Master in Applied Artificial Intelligence (2023)
Bio-inspired Learning — Universidad Politécnica de Madrid, Master in Theoretical Signal Processing (2024)

Master Theses +

A machine learning approach to League of Legends pre-game winning team prediction — Master in Big Data Analytics, Universidad Carlos III de Madrid (2023)
Predicting antibiotic-resistant bacteria using mass spectrometry and deep learning — Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid (2023)
Clustering of bacteriological strains using unsupervised learning and mass spectrometry — Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid (2023)
Antibiotic recommender system based on MALDI-TOF and Neural Networks — Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid (2024)
Adversarial Training in Microbiology: testing robustness — Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid (2024)
Conditional Difussion models for audio generation: from EEG to Speech — Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid (2024)
Fungi automatic classifier using machine learning methods — Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid (2025)
Automatic unsupervised domain adaptation of MALDI-TOF MS — Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid (2025)

Corporate Training +

Machine Learning Fundamentals — Fundación Carlos III de Madrid (2022)

Teaching evaluations & Recognitions +

Based on 9 official teaching evaluations, achieved an average score of 4.83 / 5 with a standard deviation of 0.29.
Recipient of multiple formal letters of recognition from Universidad Carlos III de Madrid for outstanding teaching performance.
Full record of evaluations and recognition letters (PDF)

Invited Talks

2026 +

What does an AI scientist actually do in a microbiology institute?

2026

Invited talk at Master program Applied Computational Life Science, ZHAW, ZHAW, Switzerland

Talks

2023 +

Clinical microbiology with multi-view deep probabilistic models

May 31, 2023

PhD defense at PhD Defense, Universidad Carlos III de Madrid, Universidad Carlos III de Madrid, Madrid, Spain

2022 +

Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space

July 16, 2022

Seminar presentation at Cambridge Ellis Machine Learning Summer School, University of Cambridge, Cambridge, United Kingdom

Identification of subspecies within Enterobacter Cloacae Complex by MALDI-TOF MS and Machine Learning

June 08, 2022

Seminar presentation at 9ª Jornada de Investigación e Innovación IISGM, Hospital General Universitario Gregorio Marañón, Madrid, Spain

Application of Machine Learning for the prediction of antimicrobial resistance mechanisms: a semi-supervised heterogeneous approach

March 07, 2022

Seminar presentation at Servicio de Microbiología, Hospital General Universitario Gregorio Marañón, Madrid, Spain