معرفی
Associate Professor Clara Grazian holds a joint PhD from University Paris-Dauphine and Sapienza University of Rome, specializing in Bayesian analysis of mixture and copula models. She previously worked at the University of Oxford’s Big Data Institute and is currently affiliated with the University of Sydney’s School of Mathematics and Statistics. Her research focuses on Bayesian statistics, machine learning, and their applications in environmental and biological sciences. Key areas include uncertainty quantification, high-dimensional inference, and interdisciplinary collaborations with institutions like the DARE Research Hub.
Her education includes a PhD (2016) co-supervised by Paris-Dauphine and Sapienza, followed by postdoctoral work at Oxford. Research interests span statistical methodologies for environmental risk assessment, biometric security, and AI interpretability. She develops scalable Bayesian models integrating mechanistic and data-driven approaches.
Recent articles highlight contributions to adversarial attack defense in biometric systems, solar cell material datasets using LLMs, and tuberculosis drug resistance analysis via genomic data. Her work frequently combines statistical theory with practical applications in health, energy, and materials science. She has secured grants including a 2022 Faculty Start-Up Award from Sydney’s Science Faculty.
