Professor Sarafrazi is a full-stack data scientist working at Ultragenyx Pharmaceutical. She enjoys working on all stages of data science, from identifying patterns in data to deploying models and building tools.
Sue’s areas of interest include health, nutrition, genomics, economics, and financial markets, and she is 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
- Selected Publications
"Cracking the “Sepsis” Code: Assessing Time Series Nature of EHR Data, and Using Deep Learning for Early Sepsis Prediction," S. Sarafrazi, R. S. Choudhari, C. Mehta, H. K. Mehta,
O. K. Japalaghi, J. Han, K. A. Mehta, H. Han, P. A. Francis-Lyon, Computing in Cardiology (CinC), Singapore, Singapore, 2019, 1-4.
“Downside Risk, Portfolio Diversification and the Financial Crisis for the Euro-zone,” S. Sarafrazi, S. Hammoudeh, P.A. AraújoSantos. Journal of International Financial Markets, Institution & Money, 2014 (32), 368-396.
“Interactions between Real Economic and Financial Risks in the U.S. Economy,” S. Sarafrazi, S. Hammoudeh, M. Balcilar, Applied Economics, 2015 (60), 6493-6518.