Dr. William (Bill) Bosl, associate professor of health informatics and clinical psychology focuses his primary research on clinical neurophysiology and neurodiagnostics. In 2018 Professor Bosl was appointed Visiting Associate Professor of Pediatrics at Harvard Medical School.
Professor Bosl is leading a series of projects to discover patterns in infant EEG signals that can serve as biomarkers for autism and other neurodevelopmental pathology in collaboration with Boston Children’s Hospital (BCH) in developmental medicine. He is also working with neurologists in the BCH Epilepsy clinic to find measures of epileptogenicity or tendency to have epileptic seizures.
Dr. Bosl is working on a crowd-sourcing approach to annotation of clinical EEGs for research for the American Society of Electrodiagnostic Technologists. Other projects involve neurodevelopment in premature infants (with Rutgers Medical School) and the emergence of neurological impairment in Kenyan children following cerebral malaria (with Oxford University).
- PhD, Behavioral Neuroscience, Boston University School of Medicine
- PhD, Geophysics, Stanford University
- MA, Mathematics, University of Pittsburgh
- MS, Atmospheric Physics, University of Michigan
- BS, Chemistry, Miami University
- Early detection of neurodevelopmental disorders using nonlinear EEG analysis.
- Integrating behavioral informatics into primary care for mental health screening.
- Informatics for global health, especially mental and neurological impairment.
- Cognitive phenotypes, consciousness and electrophysiology.
- Nonlinear signal analysis and machine learning in healthcare systems.
- Selected Publications
Bosl, William J. and Tager-Flusberg, Helen and Nelson, Charles A. "EEG Analytics for Early detection of Autism Spectrum Disorder: A data-driven approach" (2018). Scientific Reports. URL: https://doi.org/10.1038/s41598-018-24318-x
Chavakula, V., S. Fernandez, J. Peters, G. Popil, Bosl, W. J., S. Rakhade, A. Rotenberg, T. Loddenkemper. (2013). Automated quantification of spikes. Epilepsy and Behavior, 26(2).
Bosl, W. J., Mandel, J., Jonikas, M., Ramoni, R.B., Kohane, I.S., and Mandl, K.D. (2013). Scalable decision support at the point of care: A substitutable electronic health record app for monitoring medication adherence. Interactive Journal of Medical Research 2(2): e13.
Bosl, W. J. (2012). Neurotechnology and psychiatric biomarkers, in Ghista, D. (Ed.), Biomedical Engineering - Book 3; InTech Publishers.
Bosl, W. J.,Tager-Flusberg, H., Tierney, A., Nelson, C.A. (2011). EEG complexity as a biomarker for autism spectrum disorder risk. BMC Medicine, 9(18).
Kriete, A., Bosl, W. J., and Booker, G. (2010). Rule-based cell systems model of aging using feedback loop motifs mediated by stress responses. PLoS Comput Biol 6, e1000820.
Bosl, W. (2007). Systems biology by the rules: Hybrid intelligent systems for pathway discovery and analysis. BMC Systems Biology, 1(13).
Bosl, W. & Li, R. (2005). Mitotic exit control as an evolved complex system. Cell, 121. 325-333.
American Medical Informatics Association
IEEE, Computational Intelligence SIG
International Neuropsychological Society
American Psychological Society