We are currenly accepting applications to host the 2027 RoSE eConference. See our vacancies page for more details.
If you're interested in finding out more about the role in the meantime, please feel free to contact us.
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Dr. Samantha Estrada has a PhD in Applied Statistics and Research Methods from the University of Northern Colorado. She currently teaches undergraduate and graduate biostatistics courses in the Public Health Sciences department at New Mexico State University. She began her teaching career as an instructor of record at Aims Community College teaching business statistics and introductory statistics. Previously she was a faculty member at the University of Texas at Tyler where she taught undergraduate psychological statistics and graduate level multivariate statistics. Her research interests include statistics education, and applied measurement.
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Azizur Rahman earned his Ph.D. in Community Health Sciences at the University of Manitoba, specializing in advanced statistical modeling for intensive longitudinal health data. His research focuses on developing fast, approximate Bayesian and variational inference methods for discrete- and continuous-time models of intensive longitudinal data, with applications in chronic disease monitoring, mental health, and population health analytics. Azizur’s broader interests include machine learning for multilevel data, functional data analysis, time series modeling, statistical inference and simulation-based methodological research.
He is passionate about statistical consulting, reproducible research, and creating accessible quantitative tools that support evidence-informed decision-making in public health. Outside of academia, Azizur enjoys exploring new coffee spots, listening to instrumental music, and spending time outdoors—especially walking along Winnipeg’s riverside paths.
Click here to visit Azizur's academic website.
We are soon to be recruiting more committee members for the RoSE 2027 eConference. Ensure you connect with us to be notified when applications go live. If you're interested in finding out more about the role in the meantime, please feel free to contact us.
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Andrew Adrian Pua is an econometrician working on panel data related issues. He has been involved in teaching and research in The Philippines, The Netherlands, Germany, and, most recently in China as an assistant professor of quantitative economics.
He has developed open educational resources and has written a couple of papers meant to easily get students up to speed so that they can engage with more difficult topics in econometrics.
Two personal tidbits: (1) He usually cooks dishes he has never tasted before. (2) If he were to be reborn as a vegetable, he would choose to be a radish.
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Udi Alter is an Assistant Professor in the Department of Psychology at MacEwan University and a quantitative methodologist whose work sits at the intersection of psychology and statistics. He completed his PhD at York University and has worked as a statistician at the Centre for Addiction and Mental Health (CAMH). Current research projects in his lab focus mostly on: 1) statistical and psychometric methods for complex data and constructs that cannot be directly observed, including multilevel and Bayesian approaches to the multiplicity problem; 2) making modern methods accessible to researchers through open-access tutorial papers and free software such as R packages and Shiny apps; and 3) how students learn statistics and statistical software, including sources of statistics anxiety, point-and-click vs. syntax-based tools, and the role of AI in learning to program.