Summary
Adrián Zapata is a neuroscientist and biomedical/electrical engineer with nine years of experience bridging systems neuroscience and applied neurotechnology, currently working on human intracranial electrophysiology at The Hospital for Sick Children. He specializes in signal processing and machine learning for electrophysiological data, with a PhD (Cum Laude) from Radboud University where his work on cortico-hippocampal oscillations and ripple subtypes led to publications in PNAS, eLife, and iScience and earned Best Dutch Neuroscience Thesis 2025. He builds and maintains open-source Python and MATLAB pipelines for large-scale neural data that have been adopted across projects, and has applied topological data analysis to hippocampal oscillations during a visiting stint at Instituto Cajal. Comfortable across rodent and human recordings, Adrián combines rigorous experimental design with advanced spectral, causality, and ML methods, and brings a practical engineering background from MSc work in signal processing and diverse biomedical research internships. An understated strength is his track record of translating complex electrophysiological phenomena into reproducible, widely used analysis tools.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at Radboud University
Biomedical Engineering, Biomedical Engineering at Universidad de Guadalajara
Master of Science - MS, Electrical Engineering, Master of Science - MS, Electrical Engineering at Eindhoven University of Technology
Universitat Politècnica de València
High School, Biology, Theory of Knowledge, Hispanoamerican Literature, High School, Biology, Theory of Knowledge, Hispanoamerican Literature at International Baccalaureate
German, French, Spanish, English, French, Dutch