Pyeong Eun Kim

전문연구요원 (Machine Learning Researcher) at JLK
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Contact Information
us****@****om
(386) 825-5501
Location
Gangnam District, Seoul, South Korea, KR
Languages
  • 영어 Full professional proficiency
  • 한국어 Native or bilingual proficiency
  • 중국어 Elementary proficiency

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Bio

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Credentials

  • IBM AI Engineering Specialization
    아이비앰
    Apr, 2020
    - Nov, 2024

Experience

  • JLK
    • South Korea
    • Biotechnology Research
    • 1 - 100 Employee
    • 전문연구요원 (Machine Learning Researcher)
      • Sep 2020 - Present

      *Alternative to military service AI-based Drug Discovery - Unsupervised learning for biological data representation - Building novel model architectures for diverse demands from pharmaceutical industry - Data mining from raw data (constructing high quality data) - Knowledge graph construction using Grakn (or Neo4j depending on objectives) *Alternative to military service AI-based Drug Discovery - Unsupervised learning for biological data representation - Building novel model architectures for diverse demands from pharmaceutical industry - Data mining from raw data (constructing high quality data) - Knowledge graph construction using Grakn (or Neo4j depending on objectives)

  • Ghent University
    • Belgium
    • Higher Education
    • 700 & Above Employee
    • Research Intern
      • Jun 2018 - Aug 2018

      Research internship at Center for Biotech Data Science. Implemented the U-Net encoder-decoder Convolutional Neural Network (CNN) and trained it based on ISBI cell segmentation challenge data set by reproducing the results of the original paper. This internship extended to Bachelor dissertation. Research internship at Center for Biotech Data Science. Implemented the U-Net encoder-decoder Convolutional Neural Network (CNN) and trained it based on ISBI cell segmentation challenge data set by reproducing the results of the original paper. This internship extended to Bachelor dissertation.

  • Ghent University
    • Belgium
    • Higher Education
    • 700 & Above Employee
    • Research Intern
      • Dec 2017 - Feb 2018

      Research Internship at Center for Biotech Data Science. Applied a Recurrent Neural Network (RNN) to generate speech-to-text model and implemented the trained model in GUI that can be easily used in biomedical labs or hospitals. The research was in collaboration with Gil hospital of Gacheon university at South Korea. Participated in meeting with IBM, Gil Hospital, and Samsung Hospital. Research Internship at Center for Biotech Data Science. Applied a Recurrent Neural Network (RNN) to generate speech-to-text model and implemented the trained model in GUI that can be easily used in biomedical labs or hospitals. The research was in collaboration with Gil hospital of Gacheon university at South Korea. Participated in meeting with IBM, Gil Hospital, and Samsung Hospital.

Education

  • UCL
    Master of Science - MS, Oncology and Cancer Biology
    2019 - 2020
  • Universiteit Gent
    Bachelor of Science - BS, Molecular Biotechnology
    2015 - 2019
  • Global Vision Christian School
    High School Diploma, Biology/Biological Sciences, General
    2012 - 2014

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