digital health informatics
Digital Health Informatics, MS


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

Freddie Seba is a dynamic and versatile serial entrepreneur, co-founder, corporate innovator, and educator deeply immersed in the fintech, digital health, and higher education ecosystems. His extensive journey unfolds through a rich tapestry of experiences across the U.S. and internationally.

As an educator, Freddie is dedicated to shaping the next generation of leaders and innovators. As a lifelong learner, his passion and research delve into entrepreneurship, leadership, digital...

  • University of San Francisco School of Education Organization and Leadership Doctoral Program (EdD), Lifelong learner focusing on AI and Ethics
  • Stanford University, Master of International Policy...
  • Silicon Valley entrepreneurship
  • Fintech
  • Health-tech
  • Higher education

Full-Time Faculty

Cowell Hall, 201

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...

  • 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...
  • Clinical Neurophysiology and Neuroscience
  • Autism and Epilepsy
  • Machine Learning
  • EEG and Signal Analysis
  • Nonlinear Dynamics

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.

  • 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...
  • 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.

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