Profile
I research adaptive information systems at the intersection of NeuroIS, biosignals, and digital well-being. My work explores how physiological data such as EEG, EDA, and ECG can be used to design systems that support user performance and well-being in knowledge work and leisure.
Alongside academic research, I produce music in my own studio and work with media arts—creative practices that shape my perspective on interaction, perception, and experience design.
Experience & Education
Student Researcher — Institute for Information Systems (WIN), Karlsruhe Institute of Technology (KIT)
M.Sc. Industrial Engineering and Management (KIT)
Thesis: From Brainwaves to Bank Accounts: First Steps Towards Wearable EEG Systems for Economic Decision Support
Erasmus+ — Sapienza Università di Roma
B.Sc. Industrial Engineering and Management (KIT)
Thesis: The Influence of Background Music Tempo and Time Pressure on Impulse Buying Behavior
Research Focus
Topics
- Adaptive systems
- NeuroIS & biosignals (EEG, EDA, ECG)
- Brain-computer interfaces
- Flow states at work
- Future of work & digital well-being
- Music creation and use for work
Teaching
- Platform Economy
- Positive Information Systems
- Platform and Market Engineering
- Bio-signals in Information Systems and Marketing
Selected Publications
- Hacking Flow: From Lived Practices to Innovation (CHI 2026🏅)
- Exploring flow in real-world knowledge work using discrete cEEGrid sensors (CHI 2025)
- The Impact Of Multitasking In Video Meetings On Meeting Outcomes: Initial Results (ECIS 2025)
- Classification of Music Preferences Using EEG Data in Machine Learning Models (MUC SRC 2025🏅)
- Single-Trial Economic Decision Classification with Passive BCIs: A Pilot Study (NeuroIS 2024)
