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Basics

Name Kasey Zapatka
Label Quantitative Researcher and Social Scientist
Email kaseyzapatka@berkeley.edu
Url kaseyzapatka.com
Summary Quantitative social science researcher, skilled in computational, spatial, and survey methods with a background in user experience.

Education

  • 2016.08 - 2023.02

    New York City, New York

    PhD
    City University of New York, The Graduate Center
    Sociology
  • 2014.08 - 2012.05

    Bronx, New York

    MA
    Fordham University
    Sociology
  • 2006.08 - 2010.05

    San Diego, California

    BA
    Point Loma Nazarene University
    Spanish Literature and Language

Work

  • 2023.07 - Present
    Postdoctoral Researcher and Lecturer
    University of California, Berkeley
    Conducting federally funded housing research and teaching advanced computational methods to PhD students.
    • Lead cross-functional research team to develop, maintain, and analyze eviction database (150M+ records) using SQL
    • Applied R-based machine learning, multilevel regression, and synthetic control methods to study impact of rental assistance on eviction filings
    • Coordinated with UPenn partners, managed research process, and led report writing
    • Presented findings and strategic recommendations to federal housing policy stakeholders
    • Taught machine learning, natural language processing, and causal inference to PhD students
    • Led 32 weekly labs in R and Python libraries (tidyverse, sklearn, TensorFlow)
    • Supervised 8 student projects on predictive modeling and decision-making
  • 2022.09 - 2023.06
    Data Scientist
    NYC Department of Housing Preservation & Development
    Conducted research and survey design for the NYC Housing Vacancy Survey and affordable housing policy evaluation.
    • Collaborated with US Census research team to establish sample survey research frame for Housing Vacancy Survey
    • Addressed Housing Vacancy Survey measurement error by creating post-stratification weights
    • Developed methodology with survey weights to determine where to build affordable housing, presented methodology to non-technical stakeholders, and persuaded Commissioner to adopt methodology
  • 2021.01 - 2022.12
    Research Scientist, Professor Van Tran
    City University of New York, The Graduate Center
    Supported research on ethno-racial neighborhood integration in metro New York.
    • Built US Census dataset to study ethno-racial neighborhood integration in metro New York
    • Fitted multinomial logistic regression models and interpreted marginal effects plots in R
    • Wrote methodological sections, created descriptive plots in R, and managed project development on GitHub
  • 2020.01 - 2021.12
    Data Scientist – Superdiversity in Metro New York Project
    Max Planck Institute
    Led development of interactive teaching and research tool on changing diversity in Metro New York.
    • Managed end-to-end project development of interactive Superdiversity Website and Teaching Tool
    • Built and analyzed 6 cross-sectional, longitudinal databases exploring changing diversity in Metro New York
    • Identified key findings, wrote website narrative, and chose visualizations to best engage general/public audiences
    • Supervised design team in development of interactive website and ensured project aligned with stakeholder vision
  • 2018.10 - 2021.05
    Research Scientist, Professor Paul Attewell
    City University of New York, The Graduate Center
    Conducted quantitative analysis on higher education access and outcomes.
    • Developed various research projects to study the divergence of benefits for groups with different educational attainment
    • Presented findings in weekly meetings and gave feedback on other members’ projects
    • Managed 4 large national, longitudinal, and cross-sectional datasets used in analyses
    • Used data mining, HLM, OLS, and logistic regression techniques to understand the impact of educational attainment on mid-life labor market earnings
  • 2016.09 - 2019.01
    UX Researcher
    CUNY, Center for Urban Research
    User experience researcher analyzing worker and job seeker needs to improve labor market tools and services
    • Designed, executed, and led focus group research to identify key labor market trends across 10 different projects
    • Interacted with participants, distilled findings into actionable insights, and presented recommendations to clients
  • 2014.11 - 2016.08
    UX Researcher
    Empirical Creative
    User experience researcher specializing in jury and trial research for attorneys
    • Designed and led mock jury trials (focus groups) to identify favorable juror (user) characteristics and attitudes
    • Conducted strategic research to understand user characteristics that shape case opinions, iterative research to clarify what facts change opinions, and evaluative research to understand what ultimately shaped decisions
    • Translated insights into actionable recommendations (product): trial strategy, user profiles, and visual graphics

Publications

Skills

Programming
R
Python
SQL
Stata
Git & GitHub
Linux
Quantitative
Spatial econometrics
Machine learning
Generalized linear regression
Natural Language processing
Survey analysis
Conjoint Analysis
A/B testing
LLMs and GenAI
Qualitative
Focus groups
Interviews
Ethnography
Stakeholder analysis
Survey design
User perception studies

Languages

English
Native speaker
Spanish
Fluent

Interests

Urban Sociology
Housing Affordability
Rent Regulation
Eviction
Gentrification
Suburbanization
Quantitative Methodolgy
Spatial Econometrics
Computational Social Science
Machine Learning
Natural Language Processing
Causal Inference

References

Professor David Harding
Professor Van Tran
Professor Leslie McCall
Professor John Mollenkopf

Projects

  • 2020.01 - 2021.12
    Superdiversity in Metro New York
    Developed an interactive website and teaching tool to explore the changing ethno-racial diversity of the New York metropolitan area, integrating multiple datasets and producing policy-relevant analyses.
    • Managed end-to-end project development of interactive Superdiversity Website and Teaching Tool
    • Built 6 large databases and conducted data analysis to understand changing diversity in Metro New York
    • Synthesized results, designed clear data visualizations, and presented key findings to stakeholders and funders
    • Supervised design team to ensure project aligned with stakeholder vision
  • 2017.08 - 2019.05
    Housing Literacy
    Developed an online tool to annotate legal documents for rent-stabilized tenants, promoting awareness of renter rights and housing policies in New York City.
    • Researched New York City rent regulations to create accessible legal guidance
    • Designed interactive features to help tenants understand rights and obligations
    • Provided actionable resources for advocacy and public education