Yi Wu

Dr Yi Wu is a Lecturer in Real Estate Economics and UG Programme Director for Real Estate and with Foundation, Real Estate Finance, specialising in housing economics and corporate finance . Dr Wu joined Henley Business School from Bayes Business School (formerly Cass Business School) as Lecturer in Real Estate. Dr Wu spent time as a visiting scholar at the University of San Diego and the National University of Singapore and worked for Yuexiu, a Hong Kong based real estate investment trust and CHER AMI Investment Group, a Guangzhou based private fund.

Dr Wu was appointed the chair of the Society of Property Researchers (SPR,) and chair of RED Foundation Data Research & Academia Steering Group in 2023, co-chair of Global Women in Society in 2022. She has good connections with the real estate industry, including Knight Frank, Co-Star, CBRE, JLL, MSCI, and BNP Paribas Real Estate. Dr Wu was honoured as the Lincoln Young Scholar in 2017 and a Distinguished PhD in AREUEA in 2016.

Her research focus is housing economics, corporate finance and property technology. Her publications appear in Regional Studies, Real Estate Economics, Applied Economics, International Journal of Housing Markets and Analysis and the Journal of Risk and Financial Management. She has led many research funding projects, such as a UKRI Accelerated Knowledge Transfer to Innovate (AKT2I) grant in 2022, several Reading Real Estate Foundation (RREF) seed funding, a Prosperity and Resilience Pump-priming grant from the University of Reading, a City Pumping Prime Grant from City, University of London and a research grant from European Public Real Estate Association (EPRA).

Dr Wu serves in Editoral Board in Journal of Real Estate Portfolio Managementas and a reviewer for many top academic journals. She is a regular presenter at major international real estate conferences, including the AREUEA conference, UEA Annual conference, ARES annual conference and ERES annual conference.

Currently, Dr Wu is working on research projects about homeownership, ESG impact, residential location preferences, migration and industry media effects using big data and machine learning. She is currently working on a business project about big data and machine learning in location decision with Placemake. IO.