Mike’s research focuses on real estate price dynamics, machine learning applications and policy effects on real estate markets.
Before joining University of Reading, Mike was a Postdoctoral Researcher at National University of Singapore (NUS) and an independent consultant for a major US real estate investor. He further worked with policy makers in different projects such as Interreg North-West Europe and Centre for Digital Built Britain.
In his research, Mike analyses the effects of policy interventions and innovation on real estate markets. In addition, he is very interested in exploring the opportunities of machine learning applications for real estate, overcoming data limitations and improving pricing models.
- PhD, Real Estate Finance & Economics (Maastricht University)
- MSc, Financial Economics (Maastricht University)
- BSc, International Business Economics (Maastricht University)
Introduction to Data Analysis
The module introduces basic introduces basic statistical concepts and data analysis, focusing on the real estate environment....
Statistics and Quantitative Techniques
This module covers core statistical concepts and basic econometric modelling with a focus on applications in the real estate environment. The main goal is to develop an understanding for applied...
Finance and Markets
After introducing the main concepts of corporate finance and their application to real estate markets in the Autumn term, the module presents and analyses the structuring, functioning and pricing of...
Introduction to Real Estate Finance
The module provides an introduction to concepts of real estate finance, both theoretically and empirically. It introduces students to the concepts of risk and return, cost of capital and the...