I currently hold positions as Research Fellow at Henley Business School (University of Reading), Innovation Manager at Data Science Service GmbH in Vienna, and Affiliated Researcher at Vienna University of Economics and Business (WU).

My research investigates how cognitive biases distort property valuation — from anchoring effects in professional appraisal to the influence of visual stimuli in listings. I use behavioural experiments, computer vision, and crowd-sourced assessments to understand where and why human judgment fails in real estate markets.

My long-term goal is to replace subjective guesswork with unemotional, data-driven valuation. Real estate data is like oil: unrefined, its value is limited — but once processed and structured, it yields precise, objective insights. By combining crowd assessment, AI, and rigorous statistical methods, I aim to mitigate the behavioural biases that cost the market billions in mispricing each year.