(QUantitative Early-career Skills Training)
Scott Ferson - Statistics
Scott Ferson is Director of the Institute for Risk and Uncertainty and Chair of Risk and Uncertainty in the School of Engineering. His research involves Bayesian methods, especially robust and imprecise Bayesian methods, in a variety of medical and biological problems such as medical counselling when test results or treatment outcomes are uncertain because of limited experience or imprecise measurements; communication and perception of risk such as in doctor-patient interactions; statistical methods to ensure patient privacy; image and shape analysis of biological specimens; distribution-free risk analysis; erroneous calls in high-throughput DNA sequencing; and detection of disease clusters in very small data sets, or of rare disease cases in large data sets.
Expression of Interest by email
31st January 2019
17th May 2019
Start the Fellowship
June 2019 - March 2020