Health Informatics — Full-time
William J. Bosl

William J. Bosl, PhD

Assistant Professor; Director of Health Informatics Program

Dr. Bosl joined USF in the summer of 2013 as the director of the Health Informatics program. A computer scientist by training, he was most recently a research scientist with the Boston Children's Hospital Informatics Program (CHIP) and a faculty member with Harvard Medical School.
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.
Research Interests
Dr. Bosl was originally trained as a computational physicist with extensive background in scientific computing and data analysis. In 2005 he joined the faculty of Havard Medical School and the Boston Children's Hospital Informatics Program to pursue work in biomedical informatics and clinical neuroscience. He continues to collaborate with physicians and neuroscientists in Boston, Oxford University and several African clinics to develop new diagnostic and assessment methods for early detection of neuropsychiatric disorders, including autism, epilepsy, and cognitive impairment. His research is focused on using machine learning and new methods from the physics of complex systems to find diagnostic patterns in EEG data. He has recently developed a promising approach to early autism diagnosis based on a nonlinear signal analysis. Dr. Bosl has done advanced graduate training in developmental neurobiology (Harvard) and neurotechnology (MIT) and behavioral neuroscience at Boston University School of Medicine. The goal of this work is to create low cost methods to integrate early detection of brain disorders into primary care through electronic medical records, particularly for underserved populations in the US and in low income regions of the world. Collaborations with the Kenya Medical Research Institute and the West African Health Informatics Fellowship are developing mobile apps to achieve this goal.

Education

PhD, Stanford University
PhD, (candidate) Boston University Medical School
MA, University of Pittsburgh
MS, University of Michigan

Research Areas

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.

Publications
Bosl, W., Mandel, J., Jonikas, M., Ramoni, R.B., Kohane, I.S., and Mandl, K.D. Scalable decision support at the point of care: a substitutable electronic health record app for monitoring medication adherence. Interact J Med Res 2, e13.
Chavakula, V., S. Fernandez, J. Peters, G. Popil, W. Bosl, S. Rakhade, A. Rotenberg, T. Loddenkemper, "Automated quantification of spikes", Epilepsy and Behavior, 26:2, 2013.
Bosl, W. "Neurotechnology and Psychiatric Biomarkers", in Ghista, D. (ed), Biomedical Engineering - Book 3; InTech Publishers, 2012.
Bosl, W., Tager-Flusberg, H., Tierney, A., Nelson, C.A. "EEG Complexity as a Biomarker for Autism Spectrum Disorder Risk," BMC Medicine, 9:18, 2011.
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."Systems biology by the rules: hybrid intelligent systems for pathway discovery and analysis." BMC Systems Biology, 1:13, 2007.
Bosl, W. and Li, R. "Mitotic Exit Control as an Evolved Complex System." Cell; 121: 325-333, 2005.