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mikedecr/README.md

Michael DeCrescenzo (@mikedecr)

I do quantitative research and research platform development at a trading firm in Chicago.

I used to be a political scientist. I built Bayesian models for measurement and causal inference, applying these to U.S. electoral competition, the "latent ideological structure" of partisan public opinion, election policy changes, and so on.

I work primarily with Python code lately. I used to write a lot of R in graduate school. I am trying to get more familiar with Julia and OCaml.

This Github profile contains some extracurricular projects, archives of some academic and instructional materials, and configurations for managing my digital life.

Some highlights:

Pinned Loading

  1. dissertation dissertation Public

    R 3

  2. causal-bayes causal-bayes Public

    A paper about causal inference with Bayesian modeling

    R 15

  3. group-gaps group-gaps Public

    Repo for "Partisanship, Mobilization, and Persuasion in Group Voting: A Study of the Gender Gap"

    R 1

  4. PS811-computing PS811-computing Public

    R 11 6

  5. math-camp-2018 math-camp-2018 Public

    Resources for UW–Madison Political Science math camp, 2018

    HTML 2 2

  6. Scrape SCUM scores for all Bond film... Scrape SCUM scores for all Bond films from killjamesbond.com
    1
    # ----------------------------------------------------------------------------
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    #  Scrape SCUM data from KillJamesBond.com
    3
    #  by Michael DeCrescenzo (github.com/mikedecr)
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    # ----------------------------------------------------------------------------
    5