Pete Wong
Specialisms
- "Integrating Climate Risk into Real Estate Valuation: Developing Scalable Machine Learning Models"
Pete Wong is a PhD researcher at the University of Reading, Henley Business School, specializing in integrating climate risk into real estate valuation. His research leverages machine learning to develop scalable predictive frameworks for assessing the impact of flood risks on property markets. Pete aims to create models applicable to both commercial and residential real estate across diverse global markets.
Pete earned an MSc in Real Estate Finance with distinction from Henley Business School and a BBA in Finance from the Hong Kong University of Science & Technology. He has cultivated advanced expertise in financial analysis, data modelling, and real estate valuation, complemented by technical proficiency in Python and sophisticated data management methodologies.
Research topic:
"Integrating Climate Risk into Real Estate Valuation: Developing Scalable Machine Learning Models"
Supervisors : Professor Claire Xiaoying Deng Claire Xiaoying Deng | Henley Business School and Professor Yuan Zhao Yuan Zhao | Henley Business School
Areas of academic interest :
- Real estate valuation
- Climate risk analysis
- Machine learning applications in finance and sustainability
- Predictive modelling and risk forecasting
Qualifications:
MSc in Real Estate Finance, University of Reading, 2023-2024
BSc in Finance, Hong Kong University of Science and Technology, 2019-2023
Awards:
- MSc Real Estate Finance: Distinction
- Dean's List (HKUST)
Specialisms
- "Integrating Climate Risk into Real Estate Valuation: Developing Scalable Machine Learning Models"
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