馃煟
Global Talent Mobility & Knowledge Flows
How high-skilled talent moves across countries and cities, and how knowledge circulates through these movements.
Home 路 2026
Global Talent Mobility in the AI Era
I study how talent moves鈥攁nd how it is evaluated, filtered, and transformed across systems and spaces.
Wanlu Chi (Vera)
PhD, Loughborough University (2024-)
MA, University College London (2022-2023)
MBA, University of Chinese Academy of Sciences (2018-2020)
BA, Northeast Agricultural University (2009-2013)
I am a PhD researcher studying global talent mobility and the uneven outcomes of transnational careers.
My work examines how mobility is not simply about movement, but how experiences, skills, and forms of capital are interpreted, evaluated, and transformed across labour markets, institutions, and digital platforms.
I am particularly interested in how complex spatial experiences are translated into structured representations that inform decision-making, and how these processes are increasingly embedded in AI-driven systems that shape opportunity and reproduce inequality.
More broadly, I explore how these dynamics relate to the spatial organisation of knowledge, including the movement of high-skilled talent and the changing geography of global innovation in the AI era.
Research Focus
馃煚
Systems of Evaluation & Mobility Infrastructures
How institutions, labour markets, and platforms shape who moves, who is recognised, and how value is assigned.
馃敶
Cities, Innovation & Spatial Inequality
How cities compete for talent and how global innovation systems reshape spatial concentration and inequality.