Dr. Bosl joined USF in the summer of 2013 as the director of
the Health Informatics program. He was a computational physicist (PhD Stanford) before joining the Boston Children's Hospital Informatics Program (CHIP) as a faculty member with Harvard Medical School. While developing his research at CHIP, Dr. Bosl pursued further doctoral training in clinical neuroscience and collaborated with physicians in the Neurology and Developmental Medicine departments on research to find early biomarkers of neurodevelopmental disorders in children, with a focus on autism and epilepsy. He was also a lecturer and collaborator with the MIT Global Health Informatics group on neurotechnology for global mental healthcare, a project that involves a growing network of research partners in Africa. Dr. Bosl holds an adjunct research scientist appointment with Children's Hospital in Oakland Research Institute. His research focuses on early detection and monitoring of neurological and developmental disorders in children; global mental health; nonlinear signal processing and machine learning in healthcare; and cognitive phenotypes, consciousness and electrophysiology.
Dr. Bosl's vision for Health Informatics at USF is to create a broad program that brings together students and faculty with diverse backgrounds in clinical care, advanced technology and entrepreneurship to learn together how to lead the emerging digital health society. A compassionate concern for underserved populations motivates his desire to innovate and he hopes to pass along that inspiration to students. He is a strong believer in the potential for new technology to reduce healthcare costs while improving health accessibility and outcomes for all.
PhD, Stanford University
PhD, (candidate) Boston University Medical School
MA, University of Pittsburgh
MS, University of Michigan
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.
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. Intert J of Med Res 2(2): e13.
Chavakula, V., S. Fernandez, J. Peters, G. Popil, Bosl, W. J., S. Rakhade, A. Rotenberg, T. Loddenkemper. (2013). Automated quantification of spikes. Epilepsy and
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,
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.