Undergraduate course, University of Zurich, BSc Biology block course (6 ECTS), 2026
I contributed to the BIO296 block course during Spring Semester 2026, teaching artificial intelligence applied to bioinformatics. The session introduced how AI and machine-learning methods can support the analysis and interpretation of biological and microbial data.
Undergraduate course, Universidad Carlos III de Madrid, Bachelor in Data Science and Engineering, 2025
Visiting Professor in the Neural Networks undergraduate course of Bachelor in Data Science and Engineering. during the 2024-2025.
Undergraduate course, Universidad Carlos III de Madrid, Bachelor in Data Science and Engineering, 2025
Visiting Professor in the Machine Learning applications undergraduate course of Bachelor in Data Science and Engineering. during the 2024-2025.
Undergraduate course, Universidad Carlos III de Madrid, Bachelor in Mobile and Space Communications Engineering, 2025
Visiting Professor in the Linear networks analysis and synthesis undergraduate course of Bachelor in Mobile and Space Communications Engineering. during the 2024-2025.
Undergraduate course, Carlos III International School, Bachelor in Data Science and Engineering, 2022
Tutor of American exchange students in the Neural Networks undergraduate course of Bachelor in Data Science and Engineering. during the courses:
Undergraduate course, Carlos III International School, Bachelor in Data Science and Engineering, 2022
Tutor of American exchange students in the Machine Learning applications undergraduate course of Bachelor in Data Science and Engineering.
Undergraduate course, Universidad Carlos III de Madrid, Signal Theory and Communications Department, 2021
Teaching assistant in the undergraduate course Modern Theory of Detection and Estimation with Teaching Excellent Acknowledgement received from Universidad Carlos III de Madrid. This course was taught to three different bachelors degrees:
Bachelor Thesis, Bachelorstudium Medizininformatik, ZHAW School of Engineering, 2026
Completed. Defended 01 July 2026. Grade: 4.5/6.
Bachelor thesis supervision in the Bachelorstudium Medizininformatik at the ZHAW School of Engineering.
Bachelor Thesis, Bachelorstudium Medizininformatik, ZHAW School of Engineering, 2026
Completed. Defended 01 July 2026. Grade: 5.5/6.
Bachelor thesis supervision in the Bachelorstudium Medizininformatik at the ZHAW School of Engineering.
Bachelor Thesis, Bachelor in Data Science and Engineering, Universidad Carlos III de Madrid, 2023
Developing a Transformer based model, namely ShaftFormer, to characterise train driveshaft damages.
Master course, Universidad Politécnica de Madrid, Master in Theoretical Signal Processing, 2024
Teaching assistant in the master course Bio Inspired Learning.
Master course, Universidad Carlos III de Madrid, Master in Applied Artificial Intelligence, 2023
Teaching assistant in the Master course AI in Health in the Master in Applied Artificial Intelligence.
Master course, Universidad Carlos III de Madrid, Master in Applied Artificial Intelligence, 2022
Teaching assistant in the Master course Deep Learning in the Master in Applied Artificial Intelligence.
Master Thesis, Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid, 2025
Developing an automatic unsupervised domain adaptation of MALDI-TOF MS inter-hospitalary.
Master Thesis, Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid, 2025
Developing an automatic classifier of fungi species based on their MALDI-TOF MS data for hospital purposes.
Master Thesis, Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid, 2024
Condition diffusion models on EEG to generate speech.
Master Thesis, Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid, 2024
Developing a AT techniques to make microbiology AI more robust.
Master Thesis, Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid, 2024
Developing a dual-branch recommender system for antibiotic recommendations over bacterial strains.
Master Thesis, Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid, 2023
Developing a unsupervised generative models, namely VAEs, to clusterise temporal bacteriological strains.
Master Thesis, Master in Applied Artificial Intelligence, Universidad Carlos III de Madrid, 2023
Developing Deep Learning models to predict antibiotic-resistant bacteria in multi-domain datasets.
Master Thesis, Master in Big Data Analytics, Universidad Carlos III de Madrid, 2023
Developing AI solutions, namely Recommender Systems such as NCF, to League of Legends pre-game winning team prediction.
PhD co-supervision, Universidad Complutense de Madrid (UCM), 2026
Co-supervising Luis Fuertes Pina’s PhD project on the development of machine learning models applied to FTIR and MALDI-TOF for improving microbiological diagnosis at Universidad Complutense de Madrid (UCM).
PhD co-supervision, Institute of Medical Microbiology, University of Zurich, 2025
Co-supervising Janis Rogenmonser’s PhD project on advancing antimicrobial resistance prediction from whole-genome sequencing.
PhD co-supervision, Institute of Medical Microbiology, University of Zurich, 2025
Co-supervising Yukino Gütlin’s PhD project on predicting antimicrobial resistance, virulence, and invasiveness from MALDI-TOF MS data to support antimicrobial treatment decisions.
PhD co-supervision, Institute of Medical Microbiology, University of Zurich, 2025
Co-supervising Eline Meijer’s PhD project on boosting the resolution of MALDI-TOF mass spectra using transformer-based machine learning.
Corporate training, Fundación Carlos III de Madrid, 2022
I teach Corporate Training to BBVA bank employees three times a year since 2022. Specifically, a course in Machine Learning Fundamentals.
Co-coordinator with Alejandro Lancho Serrano of UC3M teaching innovation project No. 25, academic year 2024–2025: Combinación de conocimiento en redes neuronales e IA generativa para participar en competición real de ingeniería de datos (combining neural networks and generative AI knowledge to participate in a real data engineering competition).
Supported by Universidad Carlos III de Madrid under its 22nd Call for Teaching Innovation Experiences. Neural Networks course, Department of Signal Theory and Communications. Degree programmes: BSc in Data Science and Engineering and the Double Degree in Data Science and Engineering and Telecommunication Technologies Engineering. Two participating lecturers; one-semester duration.