Soroush Sobhkhiz is a versatile Data Scientist at Adaptis, where he bridges the gap between computer science and civil engineering to develop the analytical engines for two key products: Building Circularity Analysis and Portfolio Decarbonization Management. He collaborates closely with subject matter experts and translates their expertise into effective software solutions. Soroush holds a PhD with focus on Applied AI in the construction and building industry from the University of Toronto. His publications primarily revolve around Building Information Modelling, Digital Twins, Natural Language Processing, and Machine Learning.