Academic profile

Professor Lindenthal is the Grosvenor Professor of Real Estate Finance at the Department of Land Economy, University of Cambridge. His research interests are twofold: First, he analyses property investments in the very long-term, tracking rents, prices, and returns for up to 500 years. The second research line focuses on applied machine learning techniques to utilize high-dimensional “Big(ish)” data. Put differently, he uses images and other data that are too complex for spreadsheets to better understand property values, household preferences, and decisions made by very human and not always rational agents.


Professor Lindenthal is the course director for Cambridge’s postgraduate MPhil programme in Real Estate Finance. He is also a fellow at Murray Edwards College and at the Cambridge Endowment for Research in Finance. In addition, he received a JM Keynes Fellowship in Financial Economics.


Before joining the University of Cambridge, he did a postdoc at MIT’s Center for Real Estate, working on the market for virtual locations such as Internet domain names. His PhD is from Maastricht University. Professor Lindenthal has served as an expert witness for internet domain names at US courts and serves as a board member for the American Real Estate And Urban Economics (AREUA) association.


Professor Lindenthal is interested in supervising new PhD students in Real Estate Finance, preferably with a focus on new (somewhat “big”) data or, alternatively, property markets in the very long run. However, candidates might have a look at this debate first …




Key Publications


Other Publications








  • RE01 Corporate Finance And Real Estate
  • REM1 Introduction to Real Estate


  • Paper 15 Advanced Techniques in Finance and Investment for Real Estate








Research interests

  • Risk and return of real estate
  • Big Data and applied ML
  • Virtual real estate





Current PhD students


Kahshin Leow

Jiabin Wei

Lesedi Kgaka



Recent PhD students

Wayne Wan

Matthijs Korevaar







Real Estate


Research Centres





Lindenthal, T. and Johnson, E. (2021) “Machine Learning, Architectural Styles and Property Values”, Journal of Real Estate Finance and Economics [Preprint]. Available at: