Nathaniel Miller

Nathaniel Miller is an Associate Professor in the Department of Behavioral Sciences at the College of Arts, Sciences and Education, University of Michigan-Flint. His research bridges cognitive neuroscience, psychology, and biomedical engineering, with a strong focus on Parkinson's disease and the application of technology in symptom monitoring and mobility enhancement.

His research interests include:

• Cognitive Neuroscience and Biopsychology
• Parkinson’s Disease Interventions
• Use of Technology in Parkinson Disease
• Technology Use in Older Adults
• Aging and Motor Control
• Signal Processing for Medical Diagnostics

His recent publications (2018–2025) reveal a consistent trajectory in developing and validating mobile and wearable technologies for assessing tremor, postural stability, and gait in Parkinson’s patients. He frequently collaborates with Charlotte Tang and Linda Zhu, integrating human-computer interaction principles with clinical neuroscience. His work appears in journals such as ACM Transactions on Accessible Computing, Parkinsonism and Related Disorders, and ASME Journal of Engineering and Science in Medical Diagnostics and Therapy.

He is currently involved in NIH-funded research on mobile self-tracking applications for Parkinson’s patients and previously led a community-based exercise intervention study funded by Blue Cross Blue Shield. His teaching includes Cognitive Neuroscience, Cognitive Psychology, and Research Methods.

Grants and Funding:

• Validating a mobile self-tracking application designed for People with Parkinsons – NIH, $429,000 (2024–2026), Co-Investigator
• UM-Flint CIT START Fund – UM-Flint, $0 (2023), Co-PI
• Effectiveness Assessment of a Community Based Assisted Exercise Intervention for Parkinson's Disease – Blue Cross Blue Shield, $67,263 (2014–2015), PI

He has no listed scientific awards in the provided text. His lab focuses on interdisciplinary research involving mobile health technologies, signal processing, and patient-centered design for neurodegenerative conditions.