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General Information

Full Name Saehoon Kim
Languages Korean, English(working proficiency)

Education

  • 2018
    Ph.D. in Computer Science and Engineering
    POSTECH, Pohang, South Korea
  • 2009
    B.S. in Computer Science and Engineering
    POSTECH, Pohang, South Korea

Experience

  • 2020 - 2024
    Director, Visual generative modeling
    Kakao Brain
    • Leading the Karlo team in commercializing T2I solutions.
    • Some of our products are available at karlo.ai and karlo-profile.
  • 2017 - 2020
    Research Director
    AITRICS
    • Leading the VitalCare focused on early prediction of sepsis.
    • Managing a machine learning research team of ten members.
  • 2013
    Research Intern
    Microsoft Research, Redmond, US.
    • Developing a predictive parallelization technique to reduce tail latency in web search systems, published at WSDM-2015.
    • This project was advised by Yuxiong He and Sameh Elnikety.
  • 2012
    Research Intern
    Microsoft Research, Beijing, China.
    • Developing a scalable solution for billion-scale near-duplicate image discovery, published at WACV-2015.
    • This project was advised by Xin-Jing Wang.

Honors and Awards

  • 2016
    • NAVER Ph.D. Fellowship
  • 2015
    • WSDM’15 Best Paper Runner-up Award
    • POSTECH-Qualcomm Fellowship
    • Korea BI Data Mining Conference Best Paper Award
  • 2012
    • Korea BI Data Mining Conference Best Paper Award
  • 2002
    • Bronze Prize, Korea Olympiad in Informatics

Academic Interests

  • Generative Models for Healthcare
    • CXR report generation solution built upon multi-modal language models.
    • Predictive models for major clinical events in ICU settings.
  • Generative Models for Computer Vision
    • Diffusion models for conditional image generation.
    • Efficient VQ methods for autoregressive models in image generation.