About

Education

  • M.S. Candidate, KAIST, Department of Knowledge Service Engineering, Mar 2022 - Present
  • B.S., UNIST, Department of Human Factor Engineering

Research Interests

  • Data Science
  • Data analysis
  • Knowledge Graph for Finance

Conference Presentations

  • "Comparing Document Relation Extraction Utilizing Conventional Relation Extraction Model and Chat-GPT: A Focus on 5 Companies", Yeo. J., Lee, T., Moon, I. C., 22023 KIIE Annual Fall Conference, Ulsan, Korea, November 3, 2023.
  • “PLCO 데이터의 변수 다각화를 통한 난소암 절대위험 예측 모델 성능 개선", Yeo. J., Cha, H. W. and Lee, T., 2023 KIIE Annual Spring Conference, Jeju, Korea, June 2, 2023.

Research Projects

  • 난소암 절대위험 예측 연구, 국립암센터, Dec 2022 - Mar 2023
  • Relation extraction을 통한 공급망 연구, Mar 2023 -

Award

  • 2021년 제 17회 대한산업공학회 한국대학생 산업공학프로젝트 경진대회 동상: Traffic Accident Congestion Prediction Method Using Road Network Structure

Contact

faiiry9@kaist.ac.kr