Adriana-Stefania Ciupeanu

I build mathematical and statistical models to understand complex biological systems. My expertise lies in developing mechanistic models paired with rigorous Bayesian inference, an approach I’ve applied to infectious disease dynamics, but one that translates directly to questions in computational biology and cancer research. I’m drawn to problems where mechanistic understanding meets real data limitations, and where careful quantification of uncertainty can guide decision-making in translational science.

During my PhD, I collaborated with Alberta Health Services and the Public Health Agency of Canada on COVID-19 modelling. More broadly, I’m interested in temporal dynamics, network analysis, and the open-source software tools that make reproducible science possible. Beyond research, I’m committed to teaching mathematics with empathy and building community in science.

When I’m not modelling, you’ll find me exploring different cities, taking photographs, cooking different cuisines, or at a hockey game.