I have acquired a comprehensive knowledge of statistics through rigorous training at Washington University in Saint Louis. I also have a keen interest in programming and a passion for teaching statistics for the social sciences.

Formal Course Work at Washington University in Saint Louis

Required Methods Sequence

  • Mathematical Modeling in Political Science

  • Quantitative Political Methodology I (OLS)

  • Quantitative Political Methodology II (MLE)

Elective Courses

  • Multilevel Models in Quantitative Research (Jeff Gill, Center for Applied Statistics)

  • Statistical Computing for Scientific Research (Computer Science Department/Political Science Department)

  • Bayesian Statistics (Department of Mathematics)

  • Seminar in Econometrics (Prof. Sid Chib, Business School)

  • Seminar in Bayesian Statistics (Jeff Gill, Reading Seminar in Applied Statistics)

  • Factor Analysis and Related Methods (Center for Applied Statistics)

  • Methods Workshop, Political Science Department, 2014-2015

  • Quantitative Methods Reading Group (lead by Jeff Gill, 2011/2012)

  • Natural Experiments I & II (Thad Dunning and Daniel Hidalgo, IQMR, Summer 2012)

  • Computer Assisted Text Analysis (Will Lowe and Sven-Oliver Proksch, IQMR, Summer 2012)

    • I have worked on an application of a Latent Dirichlet Allocation model using the text of the bills introduced by legislators in Argentina and in Brazil in the past 10 years. Specifically, I relied on the text in which they explained to the public why they wanted to introduce a bill to uncover the topics of the bills. I plan to rely on these data and models in my future work. (Model summary, Python code.)

Teaching & Programming Workshops

Currently, I am teaching statistics courses at the graduate level in the Department of Political Science at Michigan State University. I have also taught a number of workshops in R and Python programming, you can get slides and code for these workshops on my Teaching page.