Dr. Evrenoglou is currently a Postdoctoral Research Associate within the CRESS METHODS team at Université Paris Cité. His main interest is focused on advancing statistical methods for network meta-analysis (NMA). Specifically, his work involves developing innovative NMA techniques for ranking multiple treatments and analyzing sparse data, among other areas of statistical research. In addition to his theoretical contributions, he is actively developing statistical software based on the R programming language. He is the author of the metaCOVID application which performs real-time meta-analyses of Covid-19 trials. Dr. Evrenoglou has been a key member of the COVID-NMA project since 2020, where he has contributed his expertise as a statistician. He has taken part in large systematic reviews related to COVID-19 treatments and vaccines.