Overview
Over the last three decades Dr. Morizio's research has been focused on exploring new analog CMOS microelectronics and systems for cross discipline research areas. One objective of his research is to provide disruptive sensor interface technology in niche applications areas to significantly improve system performance and capabilities beyond their current level of technology integration. These current research areas include wireless neural interface systems for closed loop in vivo electrophysiology instrumentation and highly efficient broadband transducer drivers for scalable ultrasonic microfluidic interfaces.
Dr. Morizio also has 35 years experience at Duke University teaching analog and digital VLSI circuit design courses and is the co-inventor of 8 issued patents.
Dr. Morizio also has 35 years experience at Duke University teaching analog and digital VLSI circuit design courses and is the co-inventor of 8 issued patents.
Current Duke Appointments & Affiliations
Adjunct Professor in the Department of Electrical and Computer Engineering
·
2023 - Present
Pierre R. Lamond Department of Electrical and Computer Engineering,
Pratt School of Engineering
Faculty Network Member of the Duke Institute for Brain Sciences
·
2025 - Present
Duke Institute for Brain Sciences,
University Institutes and Centers
Recent Scholarly Works
Vagal blockade of the brain-liver axis deters cancer-associated cachexia.
Journal article Cell · October 16, 2025 Cancer-associated cachexia (CAC) is a multifactorial and currently incurable syndrome responsible for nearly one-third of cancer-related deaths. It contributes to therapy resistance and increases mortality among affected patients. In this study, we show th ... Full text Open Access Link to item CiteFully implantable neural recording and stimulation interfaces: Peripheral nerve interface applications ( vol 333 , 108562 , 2025)
Journal article JOVE-JOURNAL OF VISUALIZED EXPERIMENTS · June 2025 Link to item CiteRapid and comprehensive detection of viral antibodies and nucleic acids via an acoustofluidic integrated molecular diagnostics chip: AIMDx.
Journal article Science advances · January 2025 Precise and rapid disease detection is critical for controlling infectious diseases like COVID-19. Current technologies struggle to simultaneously identify viral RNAs and host immune antibodies due to limited integration of sample preparation and detection ... Full text Open Access CiteRecent Grants
Development of a digital acoustofluidic system for automating liquid handling in biomedical research
ResearchCo Investigator · Awarded by National Institute of General Medical Sciences · 2021 - 2026Neuro-CROWN:Optimized Ultra-Flexible CMOS Electrode Arrays for 3D, Low-Noise Neural Interfaces
ResearchCo Investigator · Awarded by National Institutes of Health · 2021 - 2025Brain-Machine Interfaces for Monitoring and Modeling Sensorimotor Learning in Primates
ResearchCollaborator · Awarded by National Science Foundation · 1999 - 2004View All Grants
Education
Duke University ·
1995
Ph.D.
University of Colorado, Boulder ·
1984
M.S.
Virginia Polytech Institute and State University ·
1982
B.S.