Applications: Behavioral Science, Bioinformatics, Biological Sciences, Clinical Research, Electronic Medical Record Data, Epidemiology, Genetics, Genomics, Healthcare Management and Outcomes, Human Development, Human Subjects Trials and Intervention Studies, Medical Informatics, Population Sciences, Precision Health, Sensors and Sensor Networks, Transportation Research Methodologies: Causal Inference, Computational Tools for Data Science, Data Collection Design, Data Management, Data Visualization, Econometrics, Geographic Information Systems, High-Dimensional Data Analysis, Image Data Processing and Analysis, Longitudinal Data Analysis, Machine Learning, Missing Data and Imputation, Predictive Modeling, Real-time Data Processing, Statistical Inference, Statistical Modeling, Statistics

Kerby Shedden

Professor, Statistics, College of Literature, Science, and the Arts

Affiliation(s):

Biostatistics, School of Public Health
Director of Consulting for Statistics, Computing, and Analytics Research (CSCAR)

Kerby Shedden has broad interests involving applied statistics, data science and computing with data.  Through his work directing the data science consulting service he has worked in a wide variety of application domains including numerous areas within health science, social science, and transportation research.  A current major focus is development of software tools that exploit high performance computing infrastructure for statistical analysis of health records, and sensor data from vehicles and road networks.