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.

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.

Click here to visit Andrew's academic website.

Azizur Rahman is a Ph.D. candidate 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.