Jennifer Yang

WORK HISTORY

EDUCATION

ABOUT JENNIFER YANG

I am a data scientist and researcher with expertise in statistical modeling, research design, experimentation, and large-scale data analysis. With a background in social and behavioral science, measurement, and program evaluation, I specialize in extracting insights from complex data systems to inform policy, drive decision-making, and optimize strategies. My dissertation used network psychometrics and item response theory to re-examine the way we measure adverse childhood experiences (ACEs) and their behavioral and emotional outcomes. My interdisciplinary experience spans psychology, sociology, criminology, and public policy, allowing me to approach data-driven problems with a nuanced, human-centered perspective. I am keen about impact-driven research, developing robust metrics, and collaborating with cross-functional teams to transform data into actionable next steps. I thrive at the intersection of data science and applied research, continuously improving data quality, internal tools, and methodologies that empower teams. Key Skills: Statistical Modeling & Research Design Experimentation & Causal Inference Data Wrangling & ETL Large-Scale Data Analysis A/B Testing & Survey Methodology SQL, Python, R, Stata I’m currently interested in tech governance and the ethical implications of data-driven decision-making, particularly as it relates to fairness, transparency, and accountability in AI and policy.