Assistant Professor - Department of Neurological Sciences
Mind & Brain Health Labs
988440 Nebraska Medical Center
Omaha, NE 68198-8440
- University of Iowa, BA, Linguistics and German; Medieval Studies Certificate(2008)
- University of Rochester, MA, Brain & Cognitive Sciences (2012)
- University of Rochester, PhD, Brain & Cognitive Sciences (2015)
Clinically focused real-world behavioral monitoring and diagnostics, cognitive changes in disease, wearable-sensor and physiologic driver state monitoring, aging, diabetes, neurodegenerative disorders (Parkinson’s and Alzheimer’s disease)
Dr. Merickel is an Assistant Professor in the Department of Neurological Sciences at the University of Nebraska Medical Center. She co-leads the Mind & Brain Health Labs. Dr. Merickel's research combine techniques from cognitive science and big data analysis to study real-world behavior and performance in patient and healthy populations. She is particularly interested in developing evidence-based methods to improve safety, health, and quality of life in patients who are aging or have diseases like Parkinson’s, diabetes, and Alzheimer’s by predicting early disease development/progression and developing assistive technology to support patients by reducing disease burden. Her work combines clinical and passive-sensor data from wearable sensor technologies, like actigraphy, and driving. Dr. Merickel received her PhD in Brain and Cognitive Sciences from the University of Rochester where her research focused developing adult and developmental models of speech recognition, learning, and visual attention using behavioral, eye-tracking, and MRI techniques. Her research has spanned NIH and industry projects.
Zhou, D., Mikuls, T., Schmidt, C., England, B., Bergman, D., Rizzo, M., Merickel, J., Michaud, K. (2020). Driving Ability and Safety in Rheumatoid Arthritis: A Systematic Review. Arthritis Care & Research. doi: 10.1002/acr.24137.
Riera, L., Ozcan, K., Merickel, J., Rizzo, M., Sarkar, S., Sharma, A. (2020). Detecting and tracking unsafe lane departure events for predicting driver safety in challenging naturalistic driving data. Proceedings of The Institute of Electrical and Electronics Engineering (IEEE) International Intelligent Vehicles Symposium (IV2020), Las Vegas, NV.
Drincic, A., Desouza, C., Rizzo, M., Merickel, J. (2020). Digital health technologies, diabetes, and driving (meet your new backseat driver). In Klonoff, D. C., Kerr, D., Mulvaney, S. (Eds.), Diabetes digital health (219-230). Cambridge, MA: Elsevier.
Ozcan K., Sharma A., Knickerbocker S., Merickel J., Hawkins N., Rizzo M. (2020) Road weather condition estimation using fixed and mobile based cameras. In: Arai K., Kapoor S. (eds) Advances in Computer Vision. CVC 2019. Advances in Intelligent Systems and Computing, vol 943. Springer, Cham.
Merickel, J., High, R., Dawson, J., Rizzo, M. (2019). Real-world risk exposure in older drivers with cognitive and visual dysfunction. Traffic Injury Prevention, 20(sup2), S110-S115. doi: 10.1080/15389588.2019.1688794.
Chakraborty, P., Merickel, J., Shah, V., Sharma, A., Hegde, C., Desouza, C., Drincic, A., Gunaratne, P., Rizzo, M. (2019). Quantifying vehicle control from physiology in type 1 diabetes. Traffic Injury Prevention, 20(sup2), S26-S31. doi: 10.1080/15389588.2019.1665176.
Merickel, J., Robin, H., Smith, L., Wichman, C., Frankel, E., Smits, K., Drincic, A., Desouza, C., Gunaratne, P., Ebe, K., Rizzo, M. (2019). Driving safety and real-time glucose monitoring in insulin-dependent diabetes. International Journal of Automotive Engineering, 10(1), 34-40. doi: 10.20485/jsaeijae.10.1_34