Biography

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.

Appointments
Fellow, American Medical Informatics Association
Fellow, American Clinical Neurophysiology Society
Chair, Clinical Research Committee, American Clinical Neurophysiology Society
Chair, Faculty Development Fund Committee, USF
Education
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
Experience
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
Expertise
Clinical Neurophysiology and Neuroscience
Autism and Epilepsy
Machine Learning
EEG and Signal Analysis
Nonlinear Dynamics
Research
Clinical Neuroscience and Neurophysiology
Epilepsy
Autism
Nonlinear Dynamics and Signal Analysis
Machine Learning for Biomarker Discovery
Consciousness
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


Professional Affiliations

American Medical Informatics Association

IEEE, Computational Intelligence SIG

International Neuropsychological Society

American Psychological Society