Xia CHEN

As a visiting scholar, I advanced research at the intersection of AI, causal inference, and sustainable engineering, enriching my expertise in AI ethics.Highlights:- Investigated the integration of causal inference with AI/ML methodologies for improved reasoning in building occupants' satisfaction analysis.- Collaboration of machine assistance with large language models: Foundation, Safety & Ethics, with co-authoring two key papers.- Delivered an invited CBE WELL Seminar speech: "Introducing Causal Inferenc

As a Ph.D. candidate and lecturer at TU Berlin, my work laid the foundation for advancements in machine assistance for design and engineering.Highlights:- Led the German Research Foundation (DFG) project FOR 2363, coordinating 6 university teams and 8 doctoral researchers from prestigious institutions, including Technical University of Munich, KU Leuven, TU Berlin/Leibniz University Hannover, Ruhr University Bochum, and University of Duisburg-Essen.- Spearheaded research on machine assistance for users and

Dissertation: ‘Beyond Predictions - Alignment between Prior Knowledge and Machine Learning for Human-Centric Augmented Intelligence’ Supervisor: Prof. Dr.-Ing. Philipp Geyer Co-supervisor: Prof. Dr. rer. nat. Marius Lindauer Distinction: summa cum laude (thesis & oral)