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Camila de Souza is an Associate Professor in the Department of Statistical and Actuarial Sciences at Western University, located in London, Ontario, Canada. Her academic expertise lies in the development of new statistical methods for analyzing large and complex data structures, particularly in areas such as natural sciences, health, and engineering. Dr. de Souza employs a variety of advanced research techniques, including clustering, hierarchical mixture models, mixed effect models, hidden Markov models, nonparametric regression, semi-parametric models, and Bayesian variational inference. She has supervised multiple graduate students and is actively involved in research programs that address significant issues within her fields of interest. Her work has led to numerous publications in reputable journals, and she has contributed to the advancement of statistical methodologies that support robust data analysis in various scientific domains.
Western University • London, Ontario, Canada
Teaching and conducting research in the Department of Statistical and Actuarial Sciences.
Streams include Archaeology and Bioarchaeology, and Sociocultural Anthropology.