Joonho Lee

Machine Learning Engineer at Deep Bio Inc. (딥바이오)
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Contact Information
us****@****om
(386) 825-5501
Location
South Korea, KR

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Credentials

  • AI Manager Process
    Korea IT Business Promotion Association
    Dec, 2020
    - Nov, 2024
  • AI Researcher Process
    Korea IT Business Promotion Association
    Dec, 2020
    - Nov, 2024
  • Lloyd Auckland Invitational Mathematics Workshop
    University of Waterloo
    May, 2016
    - Nov, 2024

Experience

    • South Korea
    • Hospitals and Health Care
    • 1 - 100 Employee
    • Machine Learning Engineer
      • May 2023 - Present

    • South Korea
    • Hospitals and Health Care
    • 1 - 100 Employee
    • Machine Learning Engineer
      • Sep 2021 - Apr 2022

      - Analyzed Histopathology Image using Python Pytorch. - Developed and customized deep learning based survival analysis model. - Visualized and analyzed two risk groups(low, high risk) based on the risk score from the deep learning model using logrank test. - Publicated papers(abstract) at USCAP22, AACR22. - Researched recent deep learning papers. - Analyzed Histopathology Image using Python Pytorch. - Developed and customized deep learning based survival analysis model. - Visualized and analyzed two risk groups(low, high risk) based on the risk score from the deep learning model using logrank test. - Publicated papers(abstract) at USCAP22, AACR22. - Researched recent deep learning papers.

    • South Korea
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Data Analyst Remote
      • Jan 2021 - Feb 2021

      - Analyzed users' log data and feature selecting using Python. - Scaled the log datas and dimensionality reduction using PCA, TSNE. - Clustered the users' log data using unsupervised ML models(KMeans, DBSCAN, etc.) to verify and select excellent worker. - Made the first version of ML model to verify and select excellent worker. - Analyzed users' log data and feature selecting using Python. - Scaled the log datas and dimensionality reduction using PCA, TSNE. - Clustered the users' log data using unsupervised ML models(KMeans, DBSCAN, etc.) to verify and select excellent worker. - Made the first version of ML model to verify and select excellent worker.

    • South Korea
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Growth Hacker
      • May 2019 - Dec 2019

      - Planned and developed own marketing performance system using Python and Google Tag Manager through Google Cloud Platform. - Analyzed users' tracking data and extract meaningful insight using MYSQL, Big query, and Google Analytics. - Created human resource platform using the Word Press. - Planned and developed own marketing performance system using Python and Google Tag Manager through Google Cloud Platform. - Analyzed users' tracking data and extract meaningful insight using MYSQL, Big query, and Google Analytics. - Created human resource platform using the Word Press.

Education

  • University of Waterloo
    Bachelor's degree, Mathematics (Combinatorics & Optimization), Honours, Co-operative Program, Computing Minor
    2017 - 2022

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