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)


Work in Progress

How Distinct is Gay Neighborhood Change? Patterns and Variation in Gayborhood Trajectories

Geography or Gemeinschaft? Disentangling the meaning of “community” through word embeddings

Density, diversity, culture: How place characteristics shape individual sense of community for LGBTQ people

Social Structure and Change in Public Opinion: The Case of Same-Sex Marriage

With Katherine Stovel. Invited book chapter for Architecture of the Social, Peter Hedström and Petri Ylikoski, editors. draft submitted September 2016

Fellowships, Honors, & Awards

2019. Graduate School Distinguished Thesis Award in Social Sciences

2019. Department of Sociology Outstanding Master’s Thesis

2018. Travel Award, Schwartz Endowment, University of Washington ($1000)

2017. Best Poster (for “Extending the Demography of Sexuality with Digital Trace Data”) (co-winner), Fall Lightning Talks and Poster Session, Center for Studies in Demography and Ecology, University of Washington

2017. Travel Award, Graduate School Fund for Excellence and Innovation, University of Washington ($500)

2017. Participant in the Russell Sage Foundation Summer Institute in Computational Social Science (SICSS), Princeton University

2016–2017. NIH Big Data to Knowledge (BD2K) Fellowship, Center for Studies in Demography and Ecology, University of Washington ($23376)

2016. Schwartz Award, Department of Sociology, University of Washington ($3500)

2015–2016. Top Scholar Award, Graduate School Fund for Excellence and Innovation, University of Washington

Research Experience

2022

Data Science intern

Meta Seattle, WA
  • Analyzed feed engagement with reshared Facebook Groups content, presented insights to the Director of Data Science for Communities, built a data pipeline to create a new metric, reanalyzed a collection of experiments to quantify tradeoffs between types of content, and launched a new experiment to assess incremental value of reshared content (2022, Communities Ecosystem team)
20212020

Graduate Research Assistant

University of Washington Seattle, WA

(with Zack Almquist)

  • Text and network analysis of Twitter data from homeless care organizations | R, SQL
  • Built a web crawler and a PostgreSQL database to scrape and store text data from nonprofit and government webpages | Python, SQL
2021, 2020

User Experience Research Intern

Facebook Seattle, WA
  • Designed, fielded, and analyzed a complex stratified survey of job seeker needs and satisfaction; wrote a widely-referenced technical guide to creating inverse probability weights for nonresponse using an internal Python tool; evaluated quality of an external vendor’s missing data imputation for a sensitive survey question (2021, Commerce Ecosystem team)
  • Designed and conducted two studies (log data analysis with random forest models, behaviorally-targeted followup survey) of factors driving initial participation in new online communities (2020, Community Creation team)
2020

Consultant, Survey Data Analysis

The World Bank Group Washington, DC
  • Statistical modeling and visualization of gender-based disparities in Central Asia; wrote reproducible R pipeline for updating reports with new waves of survey data (with Stephen Winkler, supervisor Audrey Sacks) | story based on analysis
20182015

Graduate Research Assistant

University of Washington Seattle, WA
  • Agent-based network models of public opinion change (with Katherine Stovel)