Adelia Solás Martínez

Data analysis

Graduated in Biotechnology by the Polytechnic University of Madrid (2021), with a Master’s degree in Neuroscience by the Complutense University of Madrid (2023). She is currently awarded with a predoctoral research contract (FPI), through which she is developing her doctoral thesis at the Faculty of Medicine of the Complutense University of Madrid.

Her current research focuses on the application of Machine Learning algorithms to optimize electroencephalography (EEG) and magnetoencephalography (MEG) recording protocols, aiming to enhance the use of these technologies in neuroimaging research. Passionate about this goal, she seeks to continue contributing to the development of innovative solutions in the fields of neuroscience and artificial intelligence.