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Ren­tian Zhu

Ph.d. 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. , -