About Me
I am a Postdoctoral Researcher jointly at the Leverhulme Centre for Demographic Science and the Nuffield Department of Population Health, University of Oxford. My work focuses on developing innovative sampling and recruitment strategies to study hard-to-reach populations, such as people experiencing homelessness, people who use drugs, and refugees. By integrating online tools and network-based methods, I tackle key challenges in data collection, including declining response rates, selection bias, and the lack of traditional sampling frames.
I completed my PhD in Sociology at the University of Washington in 2026, where I was also a fellow at the International Max Planck Research School for Population, Health, and Data Science. Along the way, I gained industry experience as a UX Research intern at Google and as a Data Science for Social Good Fellow at the eScience Institute, University of Washington.
Research Interests
My research addresses critical challenges in survey methodology and demographic data collection, with a focus on improving inclusivity and data quality. Specifically, I am interested in:
- Creating innovative strategies and methods to improve the data quality and representativeness of online surveys. This includes exploring alternative recruitment techniques, addressing biases in sampling, and leveraging platform-specific tools to engage underrepresented populations.
- Advancing network-based sampling methods, such as respondent-driven sampling, to study hidden and marginalized populations. My work focuses on improving implementation by automating recruitment, addressing logistical challenges, reducing biases in population estimates.
- Examining the social and health disparities faced by vulnerable groups, including people experiencing homelessness and those affected by substance use disorders.
- Exploring the potential of large language models (LLMs) to transform survey research through dynamic question generation, adaptive design, and open-ended response analysis.