Omid Khazaie

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.

• Machine learning
• Statistical computing
• Natural language processing
• Data analytics of genomics data
• Databases
• Business Intelligence analytics

• Locus specific databases
• Clinical natural language processing
• Machine learning

• 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 Software Engineering, 2002

• Data Science Manager, Ultragenyx
• Data Scientist, Mednition Inc.
• Program Manager, St. Anthony’s
• IT Project Manager, RNET

• Daugherty, Sean, Vanessa Rangel Miller, Roberto Giugliani, Omid Khazaie Japalaghi, Deborah Marsden, Heather McLaughlin, Andrew Willcock, Madhuri Hegde, and Nicole Miller. "Early development of a locus specific database for GUSB, the gene associated with mucopolysaccharidosis type VII: Hints of a higher predicted prevalence." Molecular Genetics and Metabolism 138, no. 2 (2023): 107068.
• Japalaghi, Omid K., Heather McLaughlin, Nicole Miller, Prameela Ramesan, Eric Rush, Jillian Yong, and Kathryn Dahir. "OR13-3 Hypophosphatemia Gene Panel Sponsored Program: A High Yield of Molecular Diagnoses from Clinically Confirmed XLH and Suspected Genetic Hypophosphatemia." Journal of the Endocrine Society 6, no. Suppl 1 (2022): A192.
• Sharif, Omar, Matthew Domingo, Jie Han, Michael Chang, Omid Khazaie, and Anil Kemisetti. "Forecasting Model for Disease Propensity Using EHR Data." (2019).