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.
Accomplishments and Awards
- 2023 Propelling Original Data Science (PODS) Grant Award: Bayesian modeling of multi-source phenology to forecast airborne allergen concentration