Dr. Bosl was a scientific software developer at Lawrence Livermore National Laboratory and completed his (first) PhD in computational geophysics at Stanford. In 2005 he moved to the Computational Health Informatics Program in Boston. It was a joint program between Boston Children’s Hospital, Harvard Medical School, and MIT. There he began research in neuroscience and biomedical informatics.
In 2013 he joined USF as the founding director of a new master’s program in Health Informatics, where he continues as a faculty member. He continues to hold an affiliate faculty position with Boston Children’s Hospital and Harvard Medical School, where he collaborates with medical researchers in informatics, neurology, psychiatry, and developmental medicine.
- Fellow, American Medical Informatics Association
- Fellow, American Clinical Neurophysiology Society
- Chair, Clinical Research Committee, American Clinical Neurophysiology Society
- Chair, Faculty Development Fund Committee, USF
- Boston University, PhD in Behavioral Neuroscience, 2016
- Stanford University, PhD in Geophysics, 1999
- MA, Mathematics, University of Pittsburgh
- MS, Atmospheric Physics, University of Michigan
- BS, Chemistry, Miami University
- Affiliate Faculty, Boston Children's Hospital
- Instructor, then Visiting Associate Professor, Harvard Medical School
- Founding Director, Health Informatics Program, USF
- Research Associate, Stanford University
- Computer Scientist, University of California Lawrence Livermore National Laboratory
- Clinical Neurophysiology and Neuroscience
- Autism and Epilepsy
- Machine Learning
- EEG and Signal Analysis
- Nonlinear Dynamics
- Clinical Neuroscience and Neurophysiology
- Nonlinear Dynamics and Signal Analysis
- Machine Learning for Biomarker Discovery
- Selected Publications
Bosl, W. J., Leviton, A. & Loddenkemper, T. Prediction of Seizure Recurrence. A Note of Caution. Front. Neurol. 12, (2021).
Freitas, J., Nguyen, A. & Bosl, W. Confidence in the Qualified Crowd: A Platform for Sourcing EEG Annotations. in 2020 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) 1–6 (2020).
Sathyanarayana, A. et al. Nonlinear Analysis of Visually Normal EEGs to Differentiate Benign Childhood Epilepsy with Centrotemporal Spikes (BECTS). Sci. Rep. 10, 8419 (2020).
Bosl, W. J., Tager-Flusberg, H. & Nelson, C. A. EEG Analytics for Early Detection of Autism Spectrum Disorder: A data-driven approach. Sci. Rep. 8, 6828 (2018).
Bosl, W. J., Loddenkemper, T. & Nelson, C. A. Nonlinear EEG biomarker profiles for autism and absence epilepsy. Neuropsychiatr. Electrophysiol. 3, 1 (2017)
- Awards & Distinctions
Distinguished Faculty Research Award, University of San Francisco, 2019
Carol Biber Memorial Award for Excellence in Behavioral Neuroscience Research, Boston University School of Medicine, 2015
Henry I. Russek Doctoral Achievement Award, Boston University School of Medicine, 2015
American Medical Informatics Association
IEEE, Computational Intelligence SIG
International Neuropsychological Society
American Psychological Society