Michelle Torres

Hello! Welcome to my personal site. Please feel free to contact me with any questions or comments.

  • Work
  • Data
  • Code

About me

Hello! I am a Ph.D. student in the Department of Political Science, and a A.M. in Statistics student in the Department of Mathematics at Washington University in St. Louis. I am from Mexico City, where I obtained a B.A. in Political Science and International Relations from CIDE (Center for Research and Teaching in Economics) . My broad research interests are in the fields of political methodology and political behavior, with a special interest in survey methodology, computer vision, causal inference, and public opinion.

Research

My current research focuses on political methodology and the ways in which we can make statistical and computer science methods accessible to political science. I am interested in developing and applying innovative and rigorous tools to achieve a better understanding of social issues, especially in the fields of political behavior and public opinion.  Methodologically, I am particularly interested in computer vision, causal inference and survey methodology. Substantively, I focus on participation, race and identity, and psychological traits. My work is forthcoming in the American Journal of Political Science, Political Opinion Quarterly, American Politics Research, and Research & Politics.

Dissertation

In my dissertation, I analyze images and pictures using computer vision and machine learning techniques in order to classify political visual messages such as the level of violence in images published in news articles about the Black Lives Matter movement. I am interested in quantifying visual messages depicted by media outlets, exploring the correlation of such measures with ideological positions, and exploring the effect of visual material on the formation of attitudes and opinions.

Michelle Torres

  • Research

    A sample of the working papers and projects on which I am currently working.

  • CV

    Here you can find my Curriculum Vitae.

  • Software, data and code

    Packages, scripts, data and replication material.

  • Teaching

    Teaching experience, syllabus and evaluations.

  • Random links

    Here is a collection of non-academic and academic links that you may find interesting.

  • Contact

    Address: One Brookings Drive
    Campus Box 1063
    St. Louis, MO

    E-mail: smtorres(at)wustl.edu