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
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Mathematical Modeling in Political Science
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Quantitative Political Methodology I (OLS)
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Quantitative Political Methodology II (MLE)
Elective Courses
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Multilevel Models in Quantitative Research (Jeff Gill, Center for Applied Statistics)
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Statistical Computing for Scientific Research (Computer Science Department/Political Science Department)
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Bayesian Statistics (Department of Mathematics)
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Seminar in Econometrics (Prof. Sid Chib, Business School)
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Seminar in Bayesian Statistics (Jeff Gill, Reading Seminar in Applied Statistics)
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Factor Analysis and Related Methods (Center for Applied Statistics)
Additional Training & Related Activities
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Methods Workshop, Political Science Department, 2014-2015
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Quantitative Methods Reading Group (lead by Jeff Gill, 2011/2012)
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Natural Experiments I & II (Thad Dunning and Daniel Hidalgo, IQMR, Summer 2012)
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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.