CV

Education

Ph.D. in Machine Learning applied to Personalised Medicine, Universidad Carlos III de Madrid, May 2023
M.Sc. in Information Health Engineering, Universidad Carlos III de Madrid, 2020
- Relevant subjects to the job application:
  - Biosignals and bioimages
  - Neuroimaging
  - Statistical signal processing
  - Computer Vision
  - Personalised medicine
B.Sc. in Telematic Engineering, Universitat de les Illes Balears, 2019

Work experience

2021-present: Ph.D. Candidate
- Company: Gregorio Marañon Health Research Institute, Microbiology and Infectious Diseases Department
- Field: Applied Machine Learning to Microbiology
- Supervisor: Dr. Belén Rodríguez-Sánchez
2020-present: Ph.D. Candidate
- Company: Universidad Carlos III de Madrid, Signal Theory and Communications Department
- Field: Bayesian Machine Learning.
- Supervisors: Dr. Pablo M. Olmos and Dr. Vanessa Gómez-Verdejo
2019-2020: Research Assistant
- Company: Universidad Carlos III de Madrid, Signal Theory and Communications Department
- Field: Baeysian Machine Learning
- Supervisor: Dr. Pablo M. Olmos
2018-2019: Telecommunication Engineer
- Company: ALCORT S.L.
- Field: Fiber to the Home
- Supervisors: Alejandro Cortés and Teresa Reus
2017-2018: Research Assistant
- Company: Universitat de les Illes Balears, UGIVIA group
- Field: Computer Vision
- Supervisors: Dr. Francisco J. Perales and Dr. Silvia Ramis

Publications

Machine Learning applied to MALDI-TOF data in a clinical setting: a systematic review

Santiago, L. S., Guerrero-López, A., Sevilla-Salcedo, C., Rodríguez-Temporal, D., Rodríguez-Sánchez, B., & Gómez-Verdejo, V. (2025). Machine Learning applied to MALDI-TOF data in a clinical setting: a systematic review. bioRxiv, 2025-01.

Automatic semantic segmentation of the osseous structures of the paranasal sinuses

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.

Transformer Vibration Forecasting for Advancing Rail Safety and Maintenance 4.0

Larese, D. C., Cerrada, A. B., Tomei, G. D., Guerrero-López, A., Olmos, P. M., & García, M. J. G. (2025). Transformer Vibration Forecasting for Advancing Rail Safety and Maintenance 4.0. arXiv preprint arXiv:2501.11730.

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

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. bioRxiv, 2025-04.

NeuroVoz: a Castillian Spanish corpus of parkinsonian speech

Mendes-Laureano, J., Gómez-García, J.A., Guerrero-López, A. et al. NeuroVoz: a Castillian Spanish corpus of parkinsonian speech. Sci Data 11, 1367 (2024). 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

Hernández-García, E., Guerrero-López, A., Arias-Londoño, J.D. et al. A voice and speech corpus of patients who underwent upper airway surgery in pre- and post-operative states. Sci Data 11, 746 (2024). https://doi.org/10.1038/s41597-024-03540-5

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

Hernández-García, E., Guerrero-López, A., Arias-Londoño, J.D. et al. 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

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

Fuster-Barceló, Caterina and Guerrero-López, Alejandro and Camara, Carmen and Peris-Lopez, Pedro, Exploring the Power of Ppg Matrix for Atrial Fibrillation Detection with Integrated Explainability. Engineering Applications of Artificial Intelligence, Volume 133, Part D, July 2024, 108325.

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

Alejandro Guerrero-López, Julián D. Arias-Londoño, Stefanie Shattuck-Hufnagel, et al. MARTA: a model for the automatic phonemic grouping of the parkinsonian speech. TechRxiv. March 19, 2024. 10.36227/techrxiv.171084943.31044695

NeuroVoz: a Castillian Spanish corpus of parkinsonian speech

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

Rapid, automatic typing of Clostridioides difficile Ribotypes Using MALDI-TOF MS

Sanchez-Blazquez M, Guerrero-Lopez A, Candela A, Belenguer-Llorens A, Moreno JM, Sevilla Salcedo C, Sanchez-Cueto M, Arroyo MJ, Calama N, Martin A, Gomez-Verdejo V. Rapid, automatic typing of Clostridioides difficile Ribotypes Using MALDI-TOF MS. bioRxiv. 2024:2024-01. Submitted to Nature Microbiology.

MALDI-TOF spectra of Clostridioides difficile Ribotypes

Blázquez-Sánchez M, Guerrero-López A, Candela A, Sánchez-Cueto M, Marín M, Jiménez-Navarro L, et al. MALDI-TOF spectra of Clostridioides difficile Ribotypes. Zenodo; 2023.

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

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, Volume 126, Part A, November 2023, 106840

Clinical Microbiology with Multi-view deep probabilistic models

Guerrero López AJ. Clinical microbiology with multi-view deep probabilistic models. http://hdl.handle.net/10016/37432

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

Ana Candela, Alejandro Guerrero-López, Miriam Mateos, Alicia Gómez-Asenjo, Manuel J. Arroyo, Marta Hernandez-García, Rosa del Campo, Emilia Cercenado, Aline Cuénod, Gema Méndez, Luis Mancera, Juan de Dios Caballero, Laura Martínez-García, Desirée Gijón, María Isabel Morosini, Patricia Ruiz-Garbajosa, Adrian Egli, Rafael Cantón, Patricia Muñoz, David Rodríguez-Temporal, Belén Rodríguez-Sánchez, 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

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

A. Guerrero-López, C. Sevilla-Salcedo, A. Candela, M. Hernández-García, E. Cercenado, P. M. Olmos, R. Cantón, P. Muñoz, V. Gómez-Verdejo, R. del Campo, and B. Rodríguez-Sánchez, “Automatic antibiotic resistance prediction in klebsiella pneumoniae based on maldi-tof mass spectra,” Engineering Applications of Artificial Intelligence, vol. 118, p. 105644, 2023.

Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space

Guerrero-López, A., Sevilla-Salcedo, C., Gómez-Verdejo, V., & Olmos, P. M. (2022). Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space. arXiv preprint arXiv:2207.09185.

Bayesian Sparse Factor Analysis with Kernelized Observations

Carlos Sevilla-Salcedo, Alejandro Guerrero-López, Pablo M. Olmos, Vanessa Gómez-Verdejo, ayesian Sparse Factor Analysis with Kernelized Observations, Neurocomputing, 2022, ISSN 0925-2312, https://doi.org/10.1016/j.neucom.2022.03.024.

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

Perales, F.J., Riera, L., Ramis, S., Guerrero-López, A. Evaluation of a VR system for Pain Management using binaural acoustic stimulation. Multimed Tools Appl 78, 32869–32890 (2019). https://doi.org/10.1007/s11042-019-07953-y

Interacción basada en robots sociales para la evaluación de expresiones faciales

Ramis, S., Perales, F., Guerrero-López, A., & Buades Rubio, J. M. (2019). Interacción basada en robots sociales para la evaluación de expresiones faciales.

Reviewing

Engineering Applications of Artificial Intelligence, certificate, EAAI, 2023
Artificial Intelligence and Statistics, certificate, AISTATS, 2023
Clinical Microbiology and Infection, CMI, Elsevier

Summer Schools and other trainings

Cambridge Ellis Machine Learning Summer School, University of Cambridge, Cambridge, United Kingdom, 2022
Digital Health, the regulatory landscape, Medidee, Laussane, Switzerland, 2022
Teaching trainee at DEMOTEC, UIB, Palma, Spain, 2016
Volunteer instructor at the Science Fair at the UIB , 2015 and 2016

Talks

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

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

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

January 26, 2022

Seminar presentation at Seminarios Alberto Tejedor, Hospital General Universitario Gregorio Marañón, Madrid, Spain

MSACL 2021 EU 7th European Congress

September 13, 2021

Podium presentation at Mass Spectometry & Advances in the Clinical LAB 2021, Salzburg, Austria

Alejandro Guerrero-López

CV