Skip to content
Society 7AI agents & ML 7Human decisions 6Agent normsAI in designHALLMARKSim-DSEOnline petitionsPreferential BOLLM finetuningDropout modelAuto-labelingCOVID dataRecommendersPetition claimsCOVID memoryLLMsmulti-agent simulationNLPtext miningsurveysinterviewsBayesian opt.statistical modellingbenchmarking

Tap an area to explore

Kayoon Kim

Studying with , for .

Kayoon Kim

Bio

My research vision is to ensure humanity benefits from AI and algorithms that facilitate interactions between people and systems in everyday life. I characterize problems and develop data-driven solutions, and work on enhancing human decision-making while preventing marginalization through algorithms and design.

Currently a student researcher in the Robust Machine Learning group at ELLIS Institute Tübingen, and an M.S. student in Quantitative Data Science at the University of Tübingen. Previously a research intern at Porsche Human-Centered AI Research and Bosch Research (BCAI), and a research assistant at the Methods Center. My bachelor's in Sociology and Computer Science is where the interdisciplinary thread starts; earlier projects were at HIKE Lab, Da Move Lab, and CAU Data Science Lab.