Regular biography
Clara Grazian is an Associate Professor in the School of Mathematics and Statistics at The University of Sydney. Her research areas include statistical theory, computational statistics and machine learning, bioinformatics, Bayesian statistics, and probability and stochastic processes. She is affiliated with the School of Mathematics and Statistics and is based in the Carslaw Building. Grazian teaches courses such as STAT2911 and is involved in both undergraduate and postgraduate programs. Her profile page provides details about her research, teaching, and contact information.
Scholar-generated biography
Clara Grazian is a researcher at the University of Sydney specializing in Bayesian statistics, Copula models, ABC, and Mixture models. Her work focuses on statistical methods for complex data analysis, particularly in the context of tuberculosis resistance and genomics. Grazian has contributed to the development of statistical tools for antibiotic resistance prediction, genome-wide association studies, and large-scale data analysis. Her research integrates Bayesian inference, computational statistics, and machine learning to address challenges in microbiology and public health. She has published extensively on topics such as approximate Bayesian computation, mixture models, and the application of statistical methods to biological data.