Applications:
Behavioral Science, Biological Sciences, Engineering, Healthcare Research, Informatics, Social Science
Methodologies:
Causal Inference, Computing, Data Mining, Data Visualization, Databases and Data management, Image Data, Machine Learning, Mathematical and Statistical Modeling, Networks, Statistics

Kerby Shedden

Professor

Statistics, LSA
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.