Julius Kooistra

Profile

Julius Kooistra Wissenschaftlicher Mitarbeiter

I lead applied research projects on AI, finance and the public sector (including InnoCheque Velaw and the BeLEARN AI Beacon) and pursue my own research on Explainable AI in Public Employment Services and on AI-supported learning tools. I also contribute to externally funded projects (SNSF, MSCA, AVA Bern), supervise Bachelor and Master students, and lecture in applied data science and finance

Leadership of applied research projects on AI-based information systems in the financial and public sectors, including the InnoCheque Velaw project and the BeLEARN AI Beacon project
Research on Explainable AI (XAI) in Public Employment Services, including the collection and curation of a large-scale PES dataset intended for open publication
Research on AI-supported learning systems, including the design and development of the Quizzer tool as a basis for a planned empirical study
Contributions to externally funded research projects at the intersection of information systems, AI and finance (SNSF, MSCA Digital Finance)
Lecturing in the SAI (Selected Topics in Applied AI / Applied Information Systems) module at Bachelor and Master level
Supervision of Bachelor and Master theses and of AFE 1 and AFE 2 project modules on topics in applied AI, machine learning and information systems
Applied service mandates translating information-systems research into deliverables for external partners
Development of internal information-systems infrastructure for the Institute

Explainable AI in Public Employment Services. Developing and evaluating explainable machine learning methods for high-stakes decision support in PES contexts, anchored in a large-scale PES dataset intended for open release.
AI-supported learning and assessment. Designing and empirically studying AI-augmented tools for higher education, including AI Beacon and the Quizzer system.
Data visualization for trustworthy AI. Developing visual representations that make model behaviour, uncertainty and data quality accessible to non-technical stakeholders, particularly in regulated and public-sector settings.