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General Information

Full Name Jea Kwon
Languages Korean, English, Japanese

Education

  • 2014 - 2022
    Doctor of Philosophy (PhD)
    KU-KIST Graduate School of Converging Science and Technology, Korea University (KU), South Korea
    • Advisor: C. Justin Lee
    • Dissertation: The Role of Tonic GABA in Modulation of Spontaneous Motor and Circadian Behavior
  • 2008 - 2012
    Bachelor of Engineering (BE)
    Electrical and Electronic Systems, Saitama University (SU), Japan
    • Full Scholarship Korea - Japan Joint Government Program

Experience

  • 2022 - Current
    Postdoctoral Researcher
    Center for Cognition and Sociality (CCS), Institute for Basic Science (IBS), Republic of Korea
  • 2018 - 2020
    Researcher
    Center for Cognition and Sociality (CCS), Institute for Basic Science (IBS), Republic of Korea
  • 2014 - 2018
    Student Researcher
    Center for Functional Connectomics, Korea Institute of Science and Technology (KIST), Republic of Korea
  • 2017 - 2020
    Technical Research Personnel
    • Mandatory military service in the Republic of Korea

Academic Interests

  • Neuroscience-inspired AI
    • Hippocampal memory formation
    • Astrocyte-inspired network
  • AI-applied Neuroscience
    • Deep-learning-based electrophysiological analysis
    • 3D-skeleton-based animal behavior analysis

Skills

  • Languages
    • Korean (+++++)
    • English (++++)
    • Japanese (+++)
  • Programming
    • Python (+++++)
    • Matlab (++++)
    • PyTorch (++++)
    • Tensorflow (+++)
    • R (++)
    • JavaScript (++)
  • Experiments
    • Electrophysiology (+++++)
    • Animal behavior (++++)
    • Brain slice-Imaging (++++)
    • Molecular Works (+++)

Invited talks & Seminar

  • 2022
    Invited Speaker
    IBS Data Science Group seminar (Online)
    • Resolving clustering bias during animal behavior mapping and kinematic profiling.
  • 2021
    Oral presentation
    IBS 2021 2nd workshop
    • Age-dependent motor coordination analysis by three-dimensional posture estimation using AVATAR.
  • 2020
    Seminar organizer
    KAIST NeuroAI research group
    • Backpropagation and Brain.
  • 2019
    Invited speaker
    KSMCB 2019 circadian rhythm workshop,
    • Development of a Low-cost, Comprehensive Recording System for Circadian Rhythm Behavior.
  • 2019
    Oral presentation
    IBS 2019 year-end workshop,
    • Deep learning with NMDA receptor inspired activation function.

Honors & Awards

  • 2022
    Best Poster Presentation Award
    2022 KSMCB circadian rhythm workshop
    • Retina-attached slice recording reveals light-triggered tonic GABA signaling in suprachiasmatic nucleus
  • 2022
    Best Poster Presentation Award
    2022 KSBNS conference
    • ABCD-analysis - Mapping animal behavior and differential analysis of kinematic features without selection bias.
  • 2022
    Committee member
    2022 Business Science Belt in AI-Bio divisio
  • 2021
    Best Poster Presentation Award
    2021 IBS 3rd workshop
    • Mapping Behavior with DECLARE (Deep Embedded Clustering of Action Representation)
  • 2020
    Founding member
    KAIST NeuroAI research group
    • Mapping Behavior with DECLARE (Deep Embedded Clustering of Action Representation)
  • 2019
    Excellent Poster Presentation Award
    2019 FAOPS congress
    • Development of a Low-cost, Comprehensive Recording System for Circadian Rhythm Behavior