Valentin Danchev

Dr. Valentin Danchev is an Assistant Professor in Business Analytics at Queen Mary University of London's School of Business and Management. He holds a DPhil in Development Studies from the University of Oxford and has held postdoctoral positions at Stanford University School of Medicine and the University of Chicago. His research focuses on computational social science, network analysis, reproducible research practices, and data governance in AI/health domains. He is affiliated with the Centre for Globalisation Research (CGR).

Education: DPhil in Development Studies (University of Oxford), postdoctoral training at Stanford University School of Medicine and the University of Chicago.

Research Interests: Reproducible data science workflows, transparency in AI/health research, migration network analysis, and meta-research on scientific ecosystems.

Publications span topics like data governance frameworks, clinical trial transparency, and migration patterns. He authored the open textbook Reproducible Data Science with Python (2022) and is a Fellow of the Software Sustainability Institute.

Teaching includes courses on machine learning, network analysis, and responsible data practices. He advises PhD students on topics like causal inference, digital health interventions, and science policy.