معرفی
Seorin Kim is a doctoral researcher at the Vrije Universiteit Brussel (Brussels, Belgium), affiliated with the Business Technology and Operations PhD program. Their work bridges machine learning and economics, focusing on historical data analysis and wealth inequality dynamics.
- Recent research explores how large language models (LLMs) enhance optical character recognition (OCR) and handwriting text recognition (HTR) for historical records, with publications in 2024–2025.
- A second area examines the validity of intergenerational elasticity (IGE) as a metric for wealth mobility, published in PLOS ONE and SSRN.
Key research collaborations include work with V. Ginis, J. Baudru, and W. Ryckbosch. Kim presented findings at the 2024 Ergodicity Economics conference and the ELLIS Workshop on Robustness in Large Language Models.
Advising: Co-supervised four 2024 Master's theses on topics like service robots and employee well-being, online teaching technologies, dairy farm strategies, and synchromodal transport pricing.
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