Sonia Puértolas

Research project as part of the NeuroVision project for computational neuroscience to improve the state of the art EEG-to-image alignment with a human biology approach using Python and PyTorch.

Stand-alone project on design, optimization and implementation of Python-based software supporting EEG preprocessing and brain decoding workflows using MNE-Python and scikit-learn.

Investigated computational approaches for the assessment of age-related macular degeneration (AMD) and developed a Virtual Reality (VR) application using Unity and C# to explore qualitative and quantitative AMD assessment methods.

Conducted quality inspections, material characterization, and testing of microelectrode array (MEA) components for the analysis of production and obtaining of quality data to identify process deviations and potential workflow improvements.

Supported verification, validation, and performance testing of CONOX, a medical device for monitoring the depth of anesthesia through medical device risk assessment in accordance with ISO 14971 and ISO 13485.

Specialization on Bioimaging and Nanobioanalytics with additional academic focus in Biostatistics and Innovation. Master's thesis performed at the ZEISS Innovation Hub @ Karlsruhe Institute of Technology (KIT) under the title "The Visual Field as a Prior".

4 month stay as part of the Erasmus + programme with specialisation in Bioinformatics, In Vitro Models and Supply Chain Design.

BSc focused on foundational formation in Industrial Engineering, specializing in Biomedical Engineering. Broad knowledge of the field with courses on biomechanics, medical device design, biomedical sensors, signal and image processing and bioinformatics. Bachelor's thesis in "Time-series analysis for the description of obesity in mice model (2024). Additional activities in EEBE School Board, EEBE Business Forum and group tutoring with Aula Lliure initiative.