About Me

I’m currently a DPhil student in Social Data Science and a Shirley Scholar at the Oxford Internet Institute. My work sits at the intersection of computational social science, labour economics, and causal inference. I study how institutions, skills, and policy shape labor market outcomes using large-scale, novel datasets.

Previously, I earned an MPA in Economics & Public Policy from Princeton University where I also completed a graduate certificate in Statistics and Machine Learning. Before that, I worked for several years in applied research and data science roles across the public and non-profit sectors, including the Federal Reserve Board, the Burning Glass Institute, and most recently, the Lithuanian Government.

Research focus

Skills & institutions: effects of skills-based hiring policies, credential requirements, and changing returns to education.
Technology & inequality: diffusion of AI/automation and distributional impacts across occupations, regions, and socioeconomic groups.
Migration & mobility: labor migration, integration, and the political economy of mobility.
Novel Data Sources: leverage vast amounts of data from online labor market data and other novel sources of data to answer policy-relevant questions
Methods: quasi-experimental designs (DiD, event studies, synthetic control), text-as-data/NLP, network analysis, machine learning, and causal inference.

Professional experience

Oxford Internet Institute — University of Oxford
DPhil Student & Shirley Scholar (2025–present)

Kurk Lietuvai (Create Lithuania) — Investuok Lietuvoje (Invest Lithuania)
Project Manager (2024-2025)

1-year professional program to bring top Lithuanian, diaspora, and foreign talent to apply best practices in two 6-month long projects in the Lithuanian public sector
First project with Innovation Agency on apply Technology Foresight to Lithuania’s Smart Specialisation Strategy
Second project with the Transport Ministry to create a sustainable mobility index for Lithuanian municipalities using a novel national survey and new data from the inaugural Sustainable Mobility Data Platform

Burning Glass Institute (BGI)
Part-time Economist Researcher (2023-)

Leverage proprietary job postings and profiles data to analyze local demand for skills, employment trends, and key local employers to inform strategy for community colleges, non-profits, and public sector clients
Contribute to research on the effect of AI on labor demand, correlation between political affiliation and college attendance, and the effect of skills-based hiring on labor market outcomes

Federal Reserve Board — Consumer & Community Affairs
Data Scientist(2019–2022) Research Assistant(2017-2019)

implemented automated ETL pipelines that merge millions of credit‑bureau, employment, and housing data for dashboards on small dollar mortgage lending and conditions in low‑ and moderate‑income communities.
Designed, implemented and analyzed results from the Survey of Household Economics and Decisionmaking (SHED), lead data analyst for CRA modernisation analytics, and geospatial projects.
Lead the development of an internal R package for annual production process of SHED report
Produced policy memos, data products, and independent research; provide research support to economist research projects

Expertise & tools

Causal inference: difference-in-differences, event studies, synthetic control, RDD; diagnostics and sensitivity analysis.
Text & profiles data: NLP for skill extraction/normalisation, embeddings, topic/task mapping, record linkage, and measurement.
Data engineering: reproducible R/Python projects, versioned datasets, SQL (Snowflake), Git, cloud-friendly workflows.
Communication: clear documentation, visualisation & dashboarding, policy briefs, research papers, and technical appendices.

Approach & values

I aim to produce policy-relevant, transparent, and replicable research. I enjoy collaborative projects with government and industry partners, and I prioritise careful measurement, credible identification, and reproducibility.

Outside of research

I enjoy hiking, road cycling, and figure skating. I am also an avid knitter and occasional acrylics painter.

Contact

For collaborations, speaking, or data partnerships, please get in touch using the Contact page.