Ph.D. Candidate, Northeastern University

Hyoungseo Son

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Hyoungseo Son

Hyoungseo Son

Ph.D. Candidate, Mechanical Engineering, Northeastern University

Research interests

  • Physics Simulation
  • GPU-Accelerated Simulation
  • Reinforcement Learning
  • Deep Learning
  • Differentiable Simulation

Education

  • Northeastern University

    Northeastern UniversityBoston, MA

    2024.09 - present

    Ph.D., Mechanical Engineering

    Advised by Seungmoon Song · GPA 3.96 / 4.0

  • Kyungpook National University

    Kyungpook National UniversitySouth Korea

    2018.03 - 2021.02

    B.S., Mechanical Engineering (Computer Science minor)

    Summa Cum Laude, 1st / 152

Selected coursework

  • Reinforcement Learning and Sequential Decision Making
  • Deep Learning
  • Machine Learning
  • Theory of Optimization
  • Human Movement Simulation
  • Wearable Robotics

Experience

  • Gachisoft Inc.Software Research Engineer

    2021 – 2024
    • Logistics Digital Twin System deployed at two Korea Post sites; 3D physics environment and throughput prediction in Unity (C#, Python)
    • 3D vision system for Coupang; PLC integration for real-time control (C++, OpenCV)

Publications

  1. Calder Robbins, Hyoungseo Son, Chun Kwang Tan, Cheryl Wang, Roger van Kanten, Massimo Sartori, Guillaume Durandau, Vikash Kumar, Vittorio Caggiano, Seungmoon Song

    bioRxiv preprint

  2. Hyoungseo Son, Young-Gon Kim, Jin-Jae Kim, Young-Suk Kim

    Korean Journal of Metals and Materials 58(11), 741–751

Honors & awards

Tech stack

Claude CodeCodex

After seven years of manual coding, I now build entirely through LLMs.

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