Matteo Gadaleta is a scientific researcher at Scripps Research Translational Institute with nine years of experience applying signal processing and modern AI to biomedical sensing and diagnostics. He holds a PhD in Information Engineering from the University of Padova and has translated academic research into clinical-focused work on atrial fibrillation detection, Parkinson’s progression monitoring, and wearable sensor analytics. Matteo combines deep learning expertise (PyTorch) with hands-on experience in wearable IMU/ECG signal processing and has collaborated closely with clinicians to bring models toward real-world utility. He has taught neural networks and computational neuroscience at the master's level, underscoring his ability to communicate complex AI concepts to students and practitioners. Notably, his early Samsung-supported work targeted energy-efficient biometric processing for wearable devices, a thread that continues in his research on practical, deployment-aware AI for healthcare.
9 years of coding experience
PhD, Information Engineering, PhD, Information Engineering at Università degli Studi di Padova
Master's degree, Electrical, Electronic and Communications Engineering Technology/Technician, 110/110 with honors, Master's degree, Electrical, Electronic and Communications Engineering Technology/Technician, 110/110 with honors at Politecnico di Bari
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Matteo Gadaleta - Scientific Researcher at Scripps Research