CV

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Contact Information

Name Junho Park
Professional Title Ph.D. Student in Electrical & Computer Engineering
Email junhop@umich.edu

Professional Summary

Ph.D. student at the University of Michigan working on silicon and integrated photonics, inverse design, and machine learning–driven photonic device optimization. Background in photonic integrated circuits, optoelectronics, and materials engineering.

Experience

  • 2025 - 2025

    Santa Clara, CA

    Modeling & Characterization Intern
    STMicroelectronics
    • Characterized VCSELs for high-speed optical interconnects
    • Built optical test platforms and automation pipelines in Python and LabVIEW
  • 2024 - 2024

    Cupertino, CA

    Materials Engineering Intern
    Apple
    • Improved ceramic material strength via DOE and microstructure–property correlation
    • Implemented spectroscopic QC techniques
  • 2023 - 2023

    Seattle, WA

    Software Development Engineer Intern
    Amazon Web Services
    • Re-architected CV-driven kiosk workflow (Java/Kotlin)
    • Built AWS data pipelines using DynamoDB, S3, and SQS
  • 2021 - 2023

    Optoelectronics Researcher
    UC Berkeley – Javey Research Group
    • Fabricated multiplexed optoelectronic devices via e-beam, lithography, CVD
    • Built 7×7 electroluminescent MOS capacitor arrays
  • 2022 - 2022

    Computational Researcher
    Lawrence Berkeley National Lab – Ager Group
    • Built 1D gas diffusion model (Python)
    • Modeled CO electroreduction using kinetic Monte Carlo

Education

  • 2025 - 2030

    Ph.D.
    University of Michigan, Ann Arbor
    Electrical & Computer Engineering
    • {“Focus”=>”Photonic Integrated Circuits, ML for Photonics, Inverse Design”}
    • First-year Departmental Fellowship
  • 2021 - 2025

    B.S. with EECS Honors
    University of California, Berkeley
    Electrical Engineering & Computer Science / Materials Science & Engineering
    • EECS Honors
    • Blumenkranz Research Fellowship
    • Dean’s List
    • Elain Shen Award

Awards

  •
    First-year Departmental Fellowship
    University of Michigan
  •
    Blumenkranz Research Fellowship
    UC Berkeley
  •
    EECS Honors
    UC Berkeley

Publications

  • 2025
    Towards Explainable Inverse Design for Photonics via Integrated Gradients
    AAAI XAI4Science Workshop
  • 2023
    Highly multicolored light-emitting arrays for compressive spectroscopy
    Science Advances
  • 2024
    Importance of Site Diversity and Connectivity in Electrochemical CO Reduction on Cu
    ACS Catalysis

Skills

Photonics & Optoelectronics: Lumerical, Inverse Design, III-N Photonics, PICs, VCSELs, Nanofabrication
Materials Characterization: SEM, TEM, Raman, Diffraction, DSC, XRD
Programming: Python, MATLAB, Java, Kotlin, LabVIEW

Interests

Silicon Photonics:
Machine Learning for Physical Systems:
Photonic AI Hardware: