Generate a tailored SOP for Dr. Yanan Fan. Improve your application with a focused, well-structured draft.
Yanan Fan is an Adjunct Professor in the School of Mathematics and Statistics at the University of New South Wales, and a Senior Principal Research Scientist at CSIRO's Data61, Australia's leading science agency. His research primarily focuses on the development of Bayesian models and computational methodologies designed to tackle real-world problems. He is particularly interested in developing Bayesian semiparametric models and computational methods for large spatial data, which are often derived from medical images. Prof. Fan's research also encompasses approximate Bayesian inference methods and the application of Bayesian methodology to address real-world challenges, such as developing strategies to convert text data for detecting unconscious bias across languages. His expertise includes Bayesian inference, Bayesian nonparametrics, Bayesian computation with Markov chain Monte Carlo and Approximate Bayesian computation, as well as quantile regression, spatial modeling, and medical image analysis.
University of New South Wales • Sydney, NSW, Australia
Teaching and research in the field of statistics, focusing on Bayesian methodologies.
CSIRO Data61 • Sydney, NSW, Australia
Conducting advanced research in statistical models and computational methods.
Includes Business Intelligence, Enterprise Systems, and Cybersecurity Management streams.