Antonio Mendoza

Antonio is a PhD student in Electrical and Computer Engineering at Rice University and a Fulbright scholar, whose research focuses on biomedical signal processing, multimodal machine learning, and wearable sensing for cardiology and critical care applications. His work centers on developing clinically meaningful monitoring approaches, including physiological sensing systems for cardiovascular support patients and predictive models using multimodal clinical data. He is particularly interested in translating engineering innovations into deployable healthcare solutions that improve decision-making in high-acuity clinical environments. His recent research spans LVAD patient ECG denoising and risk stratification, and machine learning methods for physiological signal analysis. Beyond research, he is committed to STEM education and mentorship, leading initiatives that expand access to technical training for younger students in Bolivia.