Dr. Valentin Danchev is a Lecturer (Assistant Professor) in Business Analytics at the School of Business and Management at Queen Mary University of London. Valentin’s research combines computational methods from social data science and network analysis, with approaches from reproducible research and metascience to study the transparency, reproducibility, bias, and social impact of data-intensive research. His current focus is on evaluating and improving the robustness and reproducibility of research innovations and applying artificial intelligence and machine learning in the social and health sciences. In another stream of research, he uses computational social science and network analysis to examine health-related misinformation, digital-health interventions, and inequality in network structures of global migration.

Valentin holds a DPhil in Development Studies from the University of Oxford (Oxford Department of International Development), where he was also affiliated with the network science group at the Mathematical Institute. Prior to joining Queen Mary, he held postdoctoral positions at the Stanford University School of Medicine and the University of Chicago, and was a Lecturer in Computational Social Science at the University of Essex.