
About
Youngwoo Kim is a Postdoctoral Research Associate at the School of Data Science, University of Virginia, conducting research in natural language processing and artificial intelligence with emphasis on large language model interpretability.
Education:
- Ph.D. in Computer Science, University of Massachusetts Amherst
- M.S. in Computer Science, University of Massachusetts Amherst
- B.S. in Computer Science & Engineering, Pohang University of Science and Technology
His research lies at the intersection of information retrieval and NLP, developing explainable AI frameworks to enhance transparency while ensuring algorithmic fairness and accountability in real-world deployments. Recent work focuses on model interpretability techniques applicable to high-stakes AI systems.
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