Sofía Sappia
PhD Candidate
Nijmegen, Gelderland, Argentina
Summary
👤
Senior🎓
Top SchoolSofía Sappia is a biomedical engineer and PhD candidate with eight years of research experience developing brain-computer interfaces and applying machine learning and deep learning to EEG and fNIRS signal classification. She has driven multimodal biomedical signal acquisition and analysis across academic and industry labs, including Radboudumc, Artinis Medical Systems (Horizon 2020 RHUMBO project), and the Centro di Ricerca E. Piaggio. Her work spans experimental design, physiological signal modeling, and algorithmic comparison for P300 detection, reflecting both theoretical rigor and hands-on prototyping with platforms like OpenBCI. Fluent in English and French, with strong Italian and developing German, she pairs interdisciplinary technical depth with global academic experience from study and research abroad. Sofía is seeking doctoral opportunities that combine computational neuroscience, AI, and imaging to translate advanced signal-processing methods into real-world neurotechnology. A less obvious strength is her track record of integrating hardware-level acquisition challenges with advanced ML pipelines, enabling robust end-to-end BCI solutions.
8 years of coding experience
4 years of employment as a software developer
Engineering, Biomedical Engineering, Engineering, Biomedical Engineering at Universidad Nacional de CórdobaEngineering Msc, Semester abroad, Microelectronics and Artificial Intelligence, Engineering Msc, Semester abroad, Microelectronics and Artificial Intelligence at École des Mines de Saint-ÉtienneBachelor in Natural Sciences and Basic Technician in Environmental Issues, Bachelor in Natural Sciences and Basic Technician in Environmental Issues at Escuela Superior de Comercio Manuel Belgrano
Spanish, English, Italian, French, Dutch
Github Skills (25)
segmentation10
time-frequency9
matlab9
connectivity9
meta-analysis9
bids9
neuroscience8
neuroimaging8
electrophysiology8
statistics8
toolbox8
javascript7
medical-imaging6
active-learning6
intelligent6
Programming languages (4)
Github contributions (5)
Artinis-Medical-Systems-B-V/SignalQualityIndex
Aug 2020 - Dec 2020
Signal Quality Index algorithm for quantitative assessment of fNIRS signal quality
Contributions:7 commits, 7 pushes, 1 branch in 3 months
DIAGNijmegen/ACOUSLIC-AI-evaluation-method
Apr 2024 - Jul 2024
Contributions:6 pushes in 3 months
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