The research interests of the faculty cover two different strands of Data Science. For example, at one end, it includes topics such as data integration, data quality, data science problems related to health data, and machine learning, whereas at the other end, the focus is on dimension reduction and climatological and financial data mining.
Faculty
- Prakash Patil - nonparametric curve estimation
- Mohammad Sepehrifar - reliability, nonparametric life-testing
- Catherine Shi - health data science, predictive modeling, knowledge extraction and representation
- Jon Woody - financial forensic statistics, stochastic modeling, and statistical climatology
- Tung-Lung Wu - cluster detection, high-dimensional data analysis
- Jialin Zhang - information theory, statistical computation