Matthew T. Flavin

Matthew T. Flavin is an Assistant Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology, leading the Flavin Neuromachines Lab. His research develops neural interfaces and mechatronic wearables using advanced sensors and intelligent systems to address critical challenges in patient care and therapeutic applications.

Education:

• Ph.D. in Electrical Engineering, Massachusetts Institute of Technology (MIT), 2021
• M.S. in Electrical Engineering, MIT, 2017
• B.S. in Electrical Engineering, University of Illinois at Urbana-Champaign, 2015

Prof. Flavin's work bridges neuroengineering, flexible electronics, and clinical applications, with emphasis on peripheral neural interfaces and extended reality systems. His research program focuses on creating wearable bioelectronics that enable haptic sensory substitution, epidermal molecular monitoring, and targeted pain management through innovative electrochemical approaches.

Recent publications in Nature and PNAS reveal a consistent trajectory toward clinically translatable technologies, featuring strong interdisciplinary collaboration and emphasis on non-invasive solutions for patient care. His work demonstrates particular expertise in bioelastic materials and wireless sensing platforms.

Scientific recognition:

• NIH Ruth L. Kirschstein Institutional National Research Service Award (T32)
• Draper Laboratory Fellowship

Prof. Flavin actively mentors students in his lab and serves the broader community through roles like IEEE BSN conference co-chair. His research program shows strong momentum with multiple high-impact publications annually, supported by competitive funding mechanisms.

The Flavin Neuromachines Lab operates as an interdisciplinary hub at Georgia Tech, combining engineering rigor with clinical insights to develop next-generation neural mechatronics systems. Current projects focus on real-world implementation of wearable technologies for therapeutic applications, with strong emphasis on user-centered design and physiological validation.