About

I am a first-year M.S. student in Biomedical Engineering at Boston University and a research assistant in Frank Guenther’s Speech Neuroscience Lab, which studies how the brain controls speech. Previously, I gained hands-on wet-lab experience at the Korea Brain Research Institute, from immunohistochemistry to patch-clamp electrophysiology, studying emotion-related circuits in the mouse brain.

Outside the lab, I enjoy Kaggle competitions, soccer, and basketball.

Education

  1. 2026 – now

    M.S. in Biomedical Engineering

    Boston University · Boston, MA
  2. 2025 – 2026

    Academic English Program

    University of Texas at Austin · Austin, TX
  3. 2020 – 2025

    B.Eng. in Computer Engineering

    Daejeon University · Daejeon, Korea

Experience

  1. 2026 – now

    Research Assistant

    Speech Neuroscience Lab, Boston University · Boston, MA
  2. 2025

    Software Engineer Intern

    S-LAB · Seoul, Korea
  3. 2025

    Research Intern

    Korea Brain Research Institute (KBRI) · Daegu, Korea
  4. 2023 – 2025

    Undergraduate Research Assistant

    AIONE Lab, Daejeon University · Daejeon, Korea

Publications

YOLO-based Walking Obstacle Risk Notification System for Visually Impaired Taehyeong Jo, Jaehyun Kim, Seunghyun Jeon Korean Institute of Communications and Information Sciences (KICS), 2023

Honors & Scholarships

  1. 2026

    Dean’s Graduate Scholarship

    Boston University College of Engineering. Merit-based tuition scholarship for the M.S. program.

  2. 2023

    Honorable Mention

    East-West Life Science Research Institute, Daejeon University.

  3. 2020 – 2024

    Tuition Scholarship

    Daejeon University. Top academic performance in Computer Engineering.

Competitions

  1. 2026

    Top 1% · Kaggle Predicting Smartphone Addiction

    Ensembled gradient boosting models (XGBoost, LightGBM) on behavioral tabular data.

  2. 2026

    6th Place · Kaggle MuseumSCAT Challenge (CVNH @ ECCV 2026)

    OCR and deep learning pipelines for transcribing museum specimen labels.

  3. 2026

    Top 13% · Kaggle NeuroGolf Championship

    Compute-efficient ONNX networks for ARC-AGI visual reasoning.

  4. 2024

    Excellence Prize · AWS DeepRacer Hackathon

    Deep reinforcement learning for autonomous racing.

  5. 2023

    9th Place · AI CONNECT Biohealth Data Competition

    Predicting nerve injury risk from panoramic dental radiographs.

Skills

Programming

  • Python
  • C / C++
  • C#
  • R
  • Java
  • MATLAB

Machine learning & signals

  • PyTorch
  • TensorFlow
  • OpenCV
  • XGBoost
  • LightGBM

Wet lab

  • Immunohistochemistry
  • Cryostat sectioning
  • Histological staining
  • Patch-clamp

Systems

  • Linux
  • AWS
  • Firebase
  • Unity
  • Unreal Engine