Biosketch
Lisa is a computer scientist with a background in innovation and journalism. After receiving her Bachelor’s degree in Information Systems, she pursued a Master’s degree in Computer Science, both at TUM.
Alongside her studies, she has completed an honours degree in Innovation and Technology Management at the Center for Digital Technology and Management (CDTM) in Munich, and has worked as a journalist for SWR, among others.
In Fall 2025, she joined the Social Data Science and AI Lab under the supervision of Prof. Dr. Frauke Kreuter. Her research will focus on the mathematical and computational foundations at the intersection of ML and social good.
relAI Research
Understanding the Dynamics of Power and Opportunity through Computational Economics
In my research I am interested to study how algorithmic decision-making and allocation mechanisms shapes how power and opportunity is distributed across society.
Drawing on computational economics, algorithmic game theory, and network science, I study how algorithmic decision-making effect social welfare when resources are scarce and outcomes propagate through social structures. By centering the relationship between algorithmic policy design and distributional outcomes, I aim to contribute to the responsible development of computational tools used in high-stakes social decisions.