Aside

A small world network

Skills

Programming: R, Python, Stan, SQL

Data science:

  • Data collection: webscraping and crawling, geocoding, APIs (US Census, social media)
  • Databases: Hive and PostgreSQL
  • Surveys: stratified survey design and weighting
  • Statistical modeling: GLMs, hierarchical models, regularized regression, random forets, Bayesian statistics
  • Text analysis: topic modeling, word embeddings
  • Data visualization: ggplot2, matplotlib, shiny

Language: English (native), Spanish (advanced), Japanese (advanced), French (intermediate)

Disclaimer

This CV was made with the R package pagedown.

Last updated on 2023-01-10.

Main

Connor Gilroy

Computational sociologist & PhD candidate

Education

expected 20232018

PhD, Sociology

University of Washington Seattle, WA

Dissertation: “Expressions of Community: Understanding Variations in Community through LGBTQ Experiences.” (proposal defended June 2022)

Committee: Kate Stovel (chair), Jelani Ince, Kyle Crowder, Mako Hill

Comprehensive Exam: “Community: Origins, Processes, and Consequences.” Passed with distinction (June 2019) | reading list

Certificate: Special Concentration in Social Statistics (May 2019)

20182015

MA, Sociology

University of Washington Seattle, WA

Thesis: “How Distinct is Gay Neighborhood Change? Patterns and Variation in Gayborhood Trajectories.” | full text

  • Department of Sociology Outstanding Master’s Thesis (2019)
  • Graduate School Distinguished Thesis Award in Social Sciences (2019)

Committee: Kate Stovel (chair), Emilio Zagheni

20132009

BA, Biology and Geophysical Sciences

University of Chicago Chicago, IL

Minor: Gender and Sexuality Studies

Publications

2021

Digital Traces of Sexualities: Understanding the Salience of Sexual Identity through Disclosure on Social Media

Gilroy, Connor and Ridhi Kashyap. Socius 7: 1–18. doi: 10.1177/23780231211029499

2020

Measuring the Predictability of Life Outcomes with a Scientific Mass Collaboration

Salganik, Matthew J., Ian Lundberg, Alexander T. Kindel, [and 109 others, including Connor Gilroy]. Proceedings of the National Academy of Sciences 117(15):8398–8403. doi: 10.1073/pnas.1915006117

2019

Humans in the Loop: Incorporating Expert and Crowdsourced Knowledge for Predictions using Social Survey Data

Filippova, Anna, Connor Gilroy, Ridhi Kashyap, Antje Kirchner, Allison C. Morgan, Kivan Polimis, Adaner Usmani, and Tong Wang. Socius 5: 1–15. doi: 10.1177/2378023118820157. (corresponding author)