Valentin Danchev

Valentin Danchev

Lecturer in Computational Social Science

University of Essex

Biography

I am a computational and social data scientist championing open and reproducible science. My research uses open-source technologies, large data sets, and computational approaches from data science and network analysis to study diverse problems of transparency and replication of biomedical research, responsible clinical trial data sharing, digital-health interventions, human mobility, and global migration and inequality.

As a data science educator, I strive to enable open, inclusive, and collaborative learning of Reproducible Data Science, and to bring exploratory data analysis, machine learning, causal inference, and data ethics to bear on critical societal issues.

I am a Lecturer in Computational Social Science in the Department of Sociology at the University of Essex. Previously, I held postdoctoral positions at the Stanford University School of Medicine and the University of Chicago. I hold a DPhil from the University of Oxford, in Development Studies with a focus on network science and migration.

Interests

  • Reproducible Data Science
  • Open Science & FAIR Data
  • Open Reproducible Workflow
  • Social Networks
  • Human Mobility
  • Jupyter, Python, RStudio

Education

  • DPhil in Development Studies, 2015

    University of Oxford

  • MA in Sociological Research, 2010

    University of Essex

Publications

Publications and preprints

Contact

  • valentin.danchev@essex.ac.uk
  • Wivenhoe Park, Colchester, Essex, CO4 3SQ
  • Wednesday 10:00 to 12:00
  • DM Me