About me
I am currently a Postdoctoral Fellow at the Georg Nemetschek Institute (GNI), Technical University of Munich, supported by the TUM GNI Postdoc Program, which enables independent research at the intersection of machine learning, data science, and the built environment (AECOM) domain. My work contributes to GNI’s mission of advancing foundational research in AI while addressing challenges in engineering, sustainability, and human-centric systems.
Previously, I earned my Ph.D. with summa cum laude distinction at Leibniz University Hannover and Technical University Berlin, supervised by Prof. Dr.-Ing. Philipp Geyer (Heisenbergprofessor) and Prof. Dr. rer. nat. Marius Lindauer. My dissertation, “Beyond Predictions: Alignment between Prior Knowledge and Machine Learning for Human-centered Augmented Intelligence” lays the foundation for my research into adaptive intelligence systems that respect and extend human autonomy. It is structured around three pillars:
- Decision-Making Process Alignment
- Methodological Paradigm Alignment
- Interaction Pattern Alignment
| Thesis | Video |
In early 2024, I was a Visiting Scholar at the Center for the Built Environment (CBE), UC Berkeley, where I explored the integration of causal inference and AI to support engineering decision-making and energy-efficient design strategies.
Invited Talks and Interviews:
- “Pathway toward Prior Knowledge-Integrated Machine Learning in Engineering”, Intelligent reconstruction of multiphysical fields, DigitalFUTURES workshop, Tongji University, Shanghai, China, 2024
- “Enhancing Plausibility in Parametric Analysis: Causal Inference for Augmented Decision-Making - Insights from Architecture, Engineering, and Construct”, Indoor Air, Honolulu, USA, 2024.
- “Knowledge-integrated Machine Learning in Building Engineering”, WELL Seminar, Center for the Built Environment, University of California, Berkeley, USA, 2024.
- “Knowledge Base and Machine-Learning Assistance for Performance-oriented Building”, Toward Habitable Future Lecture, Faculty of Architecture and Landscape, Leibniz University Hannover, Germany, 2022.
- “Introducing Causal Inference in the Energy-Efficient Building Design Process”, WELL Seminar, Center for the Built Environment, University of California, Berkeley, USA, 2022.
- “Causal Inference as a Method to Aid the Process of Sustainable Building Design”, Community workshop on causal tools, Microsoft, 2021.
Here you can quickly access my bio, and publications.
Beyond my academic pursuits, I am also a passionate photographer. I invite you to view my creative expressions at my gallery