My research has made significant contributions to advancing evidence synthesis methodology, particularly through the application of Bayesian statistical models to answer complex clinical and public health questions. I have led pioneering work in network meta-analysis (NMA), developing innovative models to integrate heterogeneous, rare, or correlated data, while enhancing approaches for treatment ranking and for predicting real-world effectiveness of medical intervantions. More recently, my work has expanded to include the development of prediction models and the triangulation of evidence across human and animal studies.
At the intersection of multiple disciplines, I regularly lead diverse, cross-disciplinary teams that bring together expertise in biomedicine, clinical research, mathematics, computer science, and epidemiology. Alongside my research, I am strongly committed to teaching and mentorship, with a particular focus on supporting early-career women scientists and fostering equity, inclusion, and excellence within academic research.
I am the head of the Evidence Synthesis Methods Research Group.
See details about specific projects.
In my YouTube channel there are a few educational videos.
