About
Theory, then practice
I spent my twenties studying philosophy and the social sciences, then trained as a software engineer. I apply lessons from both onto AI’s economic and societal impact.
01 / Path
The path so far
Ten years of philosophy and social science, six of business informatics, and since then engineering and research on AI.
2008–2018 · Justus Liebig University Giessen
Philosophy and the social sciences
I studied philosophy alongside linguistics, focusing on philosophy of science, epistemology, and analytic philosophy of language. Later I exchanged linguistics for political science and sociology, with an interest in political theory and international relations, and took courses in economics.
I assisted in teaching and led the student representatives’ group for the faculty of language, literature, and culture. I left without a degree, but I still draw on these years in almost everything I do.
2018–2024 · Technische Hochschule Mittelhessen
Business information systems
A B.Sc. combining computer science with business and economics. My thesis built a deep reinforcement learning environment for the intraday electricity market and won the Karl-Heinz Lust Innovation Award 2024.
2022–2024 · Fraunhofer IEE, Kassel, Germany
Research software for energy systems
As an intern and working student, I developed the scientific Python package behind that environment and took on data modeling, ETL pipelines, database deployment, and HPC cluster orchestration.
Since 2025 · Backwelltech, Berlin, Germany
Founding-team software engineer
The first software engineer in the Berlin office: bringing machine learning research into production and building the engineering foundation from scratch.
2026 · Safe AI Germany · SPAR
Research on AI’s economic implications
A project on economic decisions under deep uncertainty about AI, followed by research on the cost trajectories of AI-adjacent technologies.
Questions about advanced AI keep turning out to be old questions in new settings: what we can know about systems we cannot observe directly, what it means to align with values people disagree about, and how institutions keep power accountable when circumstances change. Philosophy of science, political theory, and ethics have long traditions for these questions. Economics adds incentives and decisions and makes it operationalizeable, engineering then limits this set what is actually buildable.
I like working in that translation space: stating a problem so that philosophers, social scientists, and engineers can each work on it, and bringing those people into the same room.