Alejandro Guerrero-López

Alejandro Guerrero-López

Postdoctoral researcher in Bayesian Machine Learning.

Alejandro Guerrero-López

Who am I

Currently, I am a visiting professor at Signal Theory and Communications in Universidad Carlos III de Madrid.

Research. My research primarily focuses on advancing the field of Machine Learning by understanding and developing novel probabilistic models that address real-world biomedical problems. To overcome the common challenges encountered in the biomedical field (missing data, multimodalities, high-dimensional data), I am dedicated to learn, develop and apply Bayesian models that offer more accurate and reliable predictions. I have a deep interest in the fields of eXplainable AI (XAI). With the growing influence of AI technologies in our society, it is crucial to ensure transparency, trustworthiness, and ethical alignment.

Quick CV. I obtained my Ph.D. with honors (cum laude) from Universidad Carlos III de Madrid (UC3M) in the field of Machine Learning for Personalised Medicine, specifically the clinical microbiology field supervised by Prof. Pablo M. Olmos and Prof. Vanessa Gómez-Verdejo. I was a Postdoc Researcher at the Applied Signal Processing Group on speech processing to detect Parkinson’s disease supervised by Prof. Juan I. Godino-Llorente and Prof. Julián D. Arias-Londoño. I am currently affiliated with the Gregorio Marañón Health Research Institute (IISGM), where I collaborate Dr. Belén Rodríguez-Sánchez.

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Short Bio