About me

I am a Ph.D. researcher at Leibniz University Hannover/Technical University Berlin, where I received summa cum laude distinction for my dissertation, “Beyond Predictions: Alignment between Prior Knowledge and Machine Learning for Human-centered Augmented Intelligence”, under the supervision of Prof. Dr.-Ing. Philipp Geyer (Heisenbergprofessor) and Prof. Dr. rer. nat. Marius Lindauer. My research highlights the vital need for alignment between human intelligence and machine learning to enhance, rather than undermine, human capabilities and autonomy.

My dissertation is organized around three key objectives: Decision-Making Processes Alignment, Methodological Paradigms Alignment, and Interaction Pattern Alignment, and it serves as the foundation for my work in augmenting human capabilities with AI.

From January to June 2024, I was a Visiting Scholar at the University of California, Berkeley, conducting research at the Center for the Built Environment (CBE). My work there focuses on how AI embedded with causal inference can support decision-making processes in the engineering domain.

As a posthumanist, I am passionate about achieving general augmented intelligence, integrating prior knowledge (first-principles methods) into data-driven approaches, causal inference analysis, and exploring new human-computer interaction paradigms. My research has significant applications in engineering and design processes, supporting decision-making and enhancing system performance.

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