My motivation to work in the field of science and research is to fascinate people about science, to broaden their knowledge and to enable them to put it into practice.
I understand the research and the teaching in real estate and finance as an entity which derives its foundation and conclusion from theory as well as from empirics. I cooperate with many international researchers embedded in different research groups #EFA #EEA #ERES #ReCapNET #ARES #AREUEA etc.
My quantitative research in real estate and finance focuses on:
- Artificial intelligence, machine learning, and tokenization in real estate
- Direct and indirect investment vehicles (REIT, REOC, funds, crowdfunding)
- Natural risk and sustainability