AI in diagnostics, MALDI-TOF MS, and image recognition
Invited talk at BioMET '26 - International Conference on Biomaterials, Bioengineering, and Biotheranostics, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India
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
- Relevant subjects to the job application:
- 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: Prof. 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: Prof. 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
- MALDI-ST: A deep learning-based framework for rapid bacterial strain typing using MALDI-TOF mass spectra — medRxiv (2026)
- Development and validation of a LAMP assay for rapid detection of Escherichia coli associated UTIs with increased risk of urosepsis — Research Square (2026)
- A systematic review of machine learning on clinical MALDI-TOF MS — Briefings in Bioinformatics (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 (2026)
- Transformer Vibration Forecasting for Advancing Rail Safety and Maintenance 4.0 — IEEE Open Journal of Intelligent Transportation Systems (2025)
- ESCMID workshop: Artificial intelligence and machine learning in medical microbiology diagnostics — Microbes and Infection (2025)
- CT-SCOPE: annotated dataset of CT SCans for the automatic semantic segmentation of the Osseous structures of the Paranasal sinusEs — Data in Brief (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 (2025)
- Automated web-based typing of Clostridioides difficile ribotypes via MALDI-TOF MS — BMC Bioinformatics (2025)
- MARISMa: a routine MALDI-TOF MS database from 2018 to 2024 — bioRxiv (2025)
- MARISMa: a routine MALDI-TOF MS database from 2018 to 2024 — bioRxiv (2025)
- Automatic semantic segmentation of the osseous structures of the paranasal sinuses — Computerized Medical Imaging and Graphics (2025)
- NeuroVoz: a Castillian Spanish corpus of parkinsonian speech — Scientific Data (2024)
- Automatic surveillance of Escherichia coli bacteriological strains within clinical settings — bioRxiv (2024)
- Overcoming variability challenges for Clostridioides difficile via data augmentation techniques — bioRxiv (2024)
- A voice and speech corpus of patients who underwent upper airway surgery in pre- and post-operative states — Scientific Data (2024)
- A voice and speech corpus of patients who underwent upper airway surgery in pre- and post-operative states — Zenodo (2024)
- Exploring the Power of Photoplethysmogram Matrix for Atrial Fibrillation Detection with Integrated Explainability — Engineering Applications of Artificial Intelligence (2024)
- MARTA: a model for the automatic phonemic grouping of the parkinsonian speech — techRxiv (2024)
- NeuroVoz: a Castillian Spanish corpus of parkinsonian speech — Zenodo (2024)
- MALDI-TOF spectra of Clostridioides difficile Ribotypes — Zenodo (2023)
- Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks — Engineering Applications of Artificial Intelligence (2023)
- Clinical Microbiology with Multi-view deep probabilistic models — Universidad Carlos III de Madrid (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 (2023)
- Automatic antibiotic resistance prediction in Klebsiella pneumoniae based on MALDI-TOF mass spectra — Engineering Applications of Artificial Intelligence (2023)
- Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space — arXiv (2022)
- Bayesian Sparse Factor Analysis with Kernelized Observations — Neurocomputing (2022)
- Evaluation of a VR system for Pain Management using binaural acoustic stimulation — Multimedia Tools and Applications, 78 (2019)
- Interacción basada en robots sociales para la evaluación de expresiones faciales — Interaccion 2019 at San Sebastián, Spain. (2019)
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
Predicting negative blood cultures from EHR using Orange Data Mining
Hands-on workshop at BioMET '26 pre-conference workshop: Clinical AI Transforming Diagnosis, Treatment & Beyond, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India
AI applications in clinical microbiology
Invited talk at Department of Clinical Microbiology, Christian Medical College (CMC) Vellore, Vellore, Tamil Nadu, India
What does an AI scientist actually do in a microbiology institute?
Invited talk at Master program Applied Computational Life Science, ZHAW, ZHAW, Switzerland
ESCMID Workshop on Artificial Intelligence and Machine Learning in Medical Microbiology Diagnostics
Instructor at ESCMID course organised by ESGMD and the Swiss Society for Microbiology, University of Zurich, Zurich, Switzerland
2nd Automatic Assessment of Parkinsonian Speech Workshop (AAPS’24)
Local organising committee member at Research Laboratory of Electronics (RLE), Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, USA
Clinical microbiology with multi-view deep probabilistic models
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
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
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
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
Seminar presentation at Seminarios Alberto Tejedor, Hospital General Universitario Gregorio Marañón, Madrid, Spain
MSACL 2021 EU 7th European Congress
Podium presentation at Mass Spectometry & Advances in the Clinical LAB 2021, Salzburg, Austria
Teaching
Development of machine learning models applied to FTIR and MALDI-TOF for improving microbiological diagnosis
PhD co-supervision at Universidad Complutense de Madrid (UCM), Madrid, Spain
BIO296 - Microbial bioinformatics: sequencing technologies to pathogen analysis
Undergraduate course at University of Zurich, BSc Biology block course (6 ECTS), Zurich, Switzerland
Automated measurement of disc diffusion images using object detection
Bachelor Thesis at Bachelorstudium Medizininformatik, ZHAW School of Engineering, Winterthur, Switzerland
Connecting MALDI-TOF MS and whole-genome sequencing data in routine diagnostics
Bachelor Thesis at Bachelorstudium Medizininformatik, ZHAW School of Engineering, Winterthur, Switzerland
Advancing antimicrobial resistance prediction from whole-genome sequencing
PhD co-supervision at Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland
Automatic unsupervised domain adaptation of MALDI-TOF MS
Master Thesis at Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid, Madrid, Spain
Fungi automatic classifier using machine learning methods
Master Thesis at Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid, Madrid, Spain
Predicting antimicrobial resistance, virulence, and invasiveness from MALDI-TOF MS data
PhD co-supervision at Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland
Boosting the resolution of MALDI-TOF mass spectra using transformer-based machine learning
PhD co-supervision at Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland
Neural Networks
Undergraduate course at Universidad Carlos III de Madrid, Bachelor in Data Science and Engineering, Madrid, Spain
Machine Learning applications
Undergraduate course at Universidad Carlos III de Madrid, Bachelor in Data Science and Engineering, Madrid, Spain
Linear networks analysis and synthesis
Undergraduate course at Universidad Carlos III de Madrid, Bachelor in Mobile and Space Communications Engineering, Madrid, Spain
Conditional Difussion models for audio generation: from EEG to Speech
Master Thesis at Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid, Madrid, Spain
Adversarial Training in Microbiology: testing robustness
Master Thesis at Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid, Madrid, Spain
Antibiotic recommender system based on MALDI-TOF and Neural Networks
Master Thesis at Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid, Madrid, Spain
Bio-inspired Learning
Master course at Universidad Politécnica de Madrid, Master in Theoretical Signal Processing, Madrid, Spain
Clustering of bacteriological strains using unsupervised learning and mass spectrometry
Master Thesis at Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid, Madrid, Spain
Predicting antibiotic-resistant bacteria using mass spectrometry and deep learning
Master Thesis at Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid, Madrid, Spain
A machine learning approach to League of Legends pre-game winning team prediction
Master Thesis at Master in Big Data Analytics, Universidad Carlos III de Madrid, Madrid, Spain
Characterizing train driveshaft damages using accelerometers
Bachelor Thesis at Bachelor in Data Science and Engineering, Universidad Carlos III de Madrid, Madrid, Spain
AI in Health
Master course at Universidad Carlos III de Madrid, Master in Applied Artificial Intelligence, Madrid, Spain
Deep Learning
Master course at Universidad Carlos III de Madrid, Master in Applied Artificial Intelligence, Madrid, Spain
Neural Networks
Undergraduate course at Carlos III International School, Bachelor in Data Science and Engineering, Madrid, Spain
Machine Learning Applications
Undergraduate course at Carlos III International School, Bachelor in Data Science and Engineering, Madrid, Spain
Machine Learning Fundamentals
Corporate training at Fundación Carlos III de Madrid, Madrid, Spain
Modern Theory of Detection and Estimation
Undergraduate course at Universidad Carlos III de Madrid, Signal Theory and Communications Department, Madrid, Spain