About me
I am currently a Postdoctoral Fellow at the Munich Data Science Institute, Georg Nemetschek Institute (GNI), Technical University of Munich, selected by the TUM GNI Postdoc Program. My mission is to advance augmented intelligence: systems that align machine adaptability with human values and autonomy, through a synthesis of dynamical systems theory, machine learning, and design reasoning.
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 how causal inference and AI can enhance decision-making in energy-efficient design, a step toward scientific machine assistance that supports, rather than replaces, human creativity.
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, capturing the balance between light, motion, and silence. I invite you to view my creative expressions at my gallery