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Ren­tian Zhu

PhD fellow

Subjects
Economics Quantitative methods Job market Equality Health

Primary research areas

Advanced NLP Applications in Labor Economics

This research stream focuses on leveraging Large Language Models (LLMs) like GPT to revolutionize labor market analysis through automated extraction of economic variables from job postings.

Work-Life Integration and Family Outcomes

This topic examines the broader societal impacts of remote work arrangements, particularly focusing on how parental work-from-home policies affect children's academic achievement and health outcomes.

Innovation-Driven Economic Inequality

Connection between product innovation and differential inflation rates across income groups.The project establishes novel datasets linking US patents to consumer expenditure categories,examining how the introduction of new product varieties in luxury segments may contribute to lower inflation rates for wealthy households compared to poor households

I decode the future of work through data and innovation

My research transforms how we understand modern work by combining AI technology with economic analysis to create healthier, more equitable workplaces. Using Large Language Models and Danish administrative data, I investigate how remote work policies benefit entire families, identify workplace factors that harm employee mental health, and reveal how innovation affects different income groups unequally. This work provides evidence-based guidance for policymakers creating better work regulations, organizations implementing flexible policies, and HR leaders building psychologically safer environments. 

Outside activities

Currently, I have no outside employments or activities.