Ania Khodabakhshian is a Ph.D. candidate at the Department of Architecture, Built Environment, and Construction Engineering of Politecnico di Milano, and a current Visiting Graduate Research at UCLA’s Garrick Institute for the Risk Sciences. Her research interests include Machine Learning, Construction Management, Risk Management, Building Energy Retrofit, Ethics-aware technology implementation, and Academia-Industry partnerships. Her Ph.D. thesis is on Machine Learning-based Risk Management models in Construction Projects, which is conducted in collaboration with Jacobs Solutions Inc. She is also a member of Digital Asset Management lab that develops Machine Learning-based models for cost-efficient building stock energy retrofit. She has previously collaborated with MIT Schwarzman College of Computing, the University of Salford, and the International Council for Research and Innovation in Building and Construction (CIB) in the scope of grant-won projects. She holds a BSc in Architectural Engineering and an MSc in Construction and Project Management from the University of Tehran, and has years of professional work experience as an architectural designer in leading architectural firms.