Meet the Team
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Camila de Souza
Dr. de Souza is an Assistant Professor in Statistics and Data Science at the University of Western Ontario. Prior to Western, she was a postdoctoral fellow at the Shah Lab for Computational Cancer Biology at the B.C. Cancer Agency Research Centre. She completed her Ph.D. in Statistics at the University of British Columbia (UBC). Her research program consists of developing new statistical methods to analyze large and complex data structures arising from various areas in the Natural Sciences, Health, and Engineering.
Dr. Bonner is an Assistant Professor jointly appointed to the Department of Statistical and Actuarial Sciences and the Department of Biology at the University of Western Ontario. His research focuses on ecological statistics, Bayesian inference, and statistical computing. He completed his Ph.D. at Simon Fraser University and spent two years as a post-doctoral fellow at the University of British Columbia and four years as an Assistant Professor at the University of Kentucky before joining Western in 2015.
Chelsea is a fourth-year Ph.D. Candidate in Statistics at the University of Western Ontario (UWO). Chelsea received her M.Sc. in Statistics at UWO and her B.A. in Mathematics at Wilfrid Laurier University. She has 7+ years of experience working in R and RStudio and has worked with WDSS for the past three years instructing R workshops and consulting on numerous projects. Her research consists of characterizing wildland fire lifetimes in Ontario using multi-state modelling techniques.
Chengqian is a first-year Ph.D. candidate in Statistics at the University of Western Ontario (UWO). He received a B.Sc. in Mathematics and Applied Mathematics (Statistics) at South China University of Technology and an M.Sc. in Statistics at UWO. His current research focus on survival analysis and Bayesian inference.
Yifan is a third-year Ph.D. Candidate in Statistics at the University of Western Ontario (UWO) who received his thesis-based master’s degree in statistical theory at UWO and his bachelor’s degree in Mathematics at Shandong University, China. He has gained consulting experiences from four short-term data projects working with industrial companies during problem-solving workshops (organized by the Fields Institute, Toronto) from 2017 to 2019. Yifan’s research focuses on the foundation of statistical theory and methods under distributional and model uncertainty in a dynamic situation.
Zahra is a PhD student of statistical science. Her research work concentrates on two topics - Applying EM algorithm for parameter estimating of grouped data when they are normally distributed (both univaraite & multivariate cases) and clustering the cells based on their gene expression in single cell RNA sequencing data using the EM-based algorithms