Industry Transition

I’m currently transitioning from academic research to applied roles in user experience (UX), people analytics, and socially aware data science. My work has always focused on real-world outcomes—how people make decisions in complex systems shaped by work, policy, culture, social and economic structure. I’m now eager to bring that systems-level thinking, analytical rigor, and user-centered perspective to industry.

Key strengths:

• Modeled user pathways across work, family, and health using longitudinal and survey data
• Designed cross-national datasets to ensure policy and income comparability across diverse environments
• Applied causal inference, machine learning (LASSO, XGBoost), and sequence analysis to uncover behavioral patterns
• Translated insights into narratives that inform equity-driven policy and system design

Industry interests:

I’m especially interested in roles that value:

• Behavioral research at scale
• Inclusive product and system design
• People-centered decision support
• Translating complex data into actionable insights for users, teams, and organizations

I’m open to opportunities in UX research, applied data science, people analytics, and research strategy.

Please feel free to contact me at [limeiying1119@gmail.com] or view my LinkedIn profile.