Curriculum Vitae

Dr. David Garcia

affiliations: Complexity Science Hub Vienna and
Medical University of Vienna
address: Josefstädter Strasse 39, Vienna, Austria
ResearcherID: A-2
ORCID: 0000-0002-2820-9151
Scopus: 56817130300

Google Scholar Profile]


Research and Professional Experience

  • Group leader – Complexity Science Hub Vienna and MUW.                Since September 2017
    Leading a Vienna Research Group funded by the WWTF
  • Senior researcher – ETH Zurich.                                               January 2015 to August 2017
    Research on emotions and polarization in participatory media, funded by the Swiss SNF
  • Postdoctoral researcher – ETH Zurich.                            September 2012 to December 2014
    Research on digital traces of emotions, privacy, and resilience in social media
  • Research Assistant – Chair of Systems Design.                   September 2009 to August 2012
    Participation in EU FP7 project Cyberemotions, taking part on project reporting and reviews
    Responsible of the ICT infrastructure of the chair. User and systems administration
  • Research Assistant – Network Visualization.                       November 2008 to August 2009
    Developer of Cuttlefi sh a graph visualization project Java
  • Master Thesis and Research Assistant – ETH Zurich.            September 2008 to March 2009
    Analysis of higher-order structures of equilibrium networks, supervised by Prof. Peter Widmayer
  • Semester Project – International Conflict Research.                              March to June 2008
    ETH Zurich. Supervisor: Prof. Lars-Erik Cederman. Agent-based modeling of resource conflict.
  • Student Internship, Knowledge Engineering Institute UAM.    June 2006 to February 2007
    Development of machine learning systems for fraud detection

Teaching experience

Advisory positions in industry


Research Skills

  • Computational social science. Statistical analysis of digital traces of human behavior
  • Information retrieval technologies, in particular social networks and sentiment analysis
  • Dynamical systems analysis applied to agent-based models of collective social behavior
  • Project proposal design for the Swiss SNF, funded between April 2013 and March 2016
  • Interdisciplinary and international collaboration experience. Successful collaboration with psychologists, political scientists, physicists, and computer scientists
  • Open dissemination of research results in Github and through online visualization

Technical Skills

  • R statistical language: Frequentist and Bayesian statistics, machine learning
  • Python for data processing, natural language processing, and information retrieval
  • SQL database administration and design
  • Spark and MongoDB: user-level experience
  • Unix scripting for automated testing and data processing
  • Java and C: Software engineering experience


Research Interests

  • Quantitative analysis of human behavior through digital traces: Human-Computer Interaction and Computational Social Science
  • Emotions, cultures, and social networks
  • Computational modeling to explain collective human behavior

More Information

Publication List

Talk List

Visualization of my Collaboration Network

Full Service List

Selected Media Responses

PhD Thesis