digital health informatics
Digital Health Informatics, MS

Faculty

Our talented and competent faculty bring various life experiences and educational backgrounds to the classroom and beyond. 

For complete profiles, please click on the faculty's name.

Program Director

Cowell Hall 321

Freddie Seba, MBA, Masters in International Policy Studies, and EdD in Organization and Leadership  lifelong learner, is a distinguished educator and program director at the University of San Francisco's School of Nursing and Health Professions, where he leads the Masters of Science in Digital Health Informatics (MSDHI) program. With a multifaceted educational background including a Masters in International Policy Studies (MIPS) from Stanford University and a Masters of Business Administration...

Education:
  • University of San Francisco 2022- Present
  • School of Education Organization and Leadership (EdD) Doctoral Student Working on Gen AI Ethics, expected graduation Fall 2025
  • Stanford University, Master...
Expertise:
  • Ethical generative AI
  • Entrepreneurship
  • Fintech/healthtech
  • Global ecosystems

Full-Time Faculty

Cowell Hall, 202

William J. Bosl is a neuroscientist and data scientist at the University of San Francisco. He is a Professor in the School of Nursing and Health Professions and member of the Data Institute, where he leads the Healthcare AI Initiative and directs the Clinical Neuroinformatics & AI Laboratory. He teaches and develops AI algorithms for clinical biomarker discovery with researchers at Boston Children’s Hospital, where he holds an Affiliate Research Faculty position. Before beginning research in...

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
  • B...
Expertise:
  • Neuroscience
  • Biomedical Informatics, physiological signal processing, AI
  • Neurodevelopmental disorders

Part-Time Faculty

Omid is a data scientist with extensive experience in statistical analysis, machine learning, and predictive modeling. Throughout his career, he has been driven by challenge. He has enjoyed a dynamic career in IT leadership roles developing team performance, analyzing large and complex data sets to identify trends, patterns, and opportunities that support strategic decision-making and drive business growth.

Education:
  • University of San Francisco, MS in Health Informatics, 2019
  • Federation University Australia, Graduate Diploma of Information Technology Management, 2011
  • Azad University of Arak, BE in Computer...
Expertise:
  • Machine learning
  • Statistical computing
  • Natural language processing
  • Data analytics of genomics data
  • Databases
  • Business Intelligence analytics

Professor Sarafrazi is a data scientist working in biotech industry. She enjoys working on all stages of data science, from identifying patterns in data to deploying models and building tools. Her areas of interest include health, nutrition, genomics, economics, and financial markets. She's passionate about teaching and making concepts easy to understand.

Education:
  • University of San Francisco, MS in Health Informatics, 2019
  • Drexel University, Ph.D. in Economics, 2015
Expertise:
  • Machine Learning and Deep Learning
  • Natural Language Processing
  • Data Analytics of Genomics Data
  • Statistics and Econometrics