Curriculum Vitae

Education

  • 2021-2025
    University of California, Los Angeles
    Computer Science BS and Physics BS

Honors and Awards

  • 2024-2025
    Clare Booth Luce Scholar
  • 2021-2025
    Pedrozzi Scholar

Research Experience

Work Experience

  • JUL 203-AUG 2023
    LabSmith
    Intern
    • Ported the uProcess SDK from Windows to Linux while preserving parallel computation advantages and ensuring cross-compatibility (C++, CMake)
    • Implemented the dynamic menu for developing in the uProcess scripting language (C++)
  • MAR 2021-SEP 2021
    LabSmith
    Intern
    • Integrated the Sensirion Flow Sensor to the uProcess software (C++)
    • Wrote an application note on maintaining a consistent flow rate with feedback control using a flow rate sensor
    • Ensured quality and reliability of microfluidic components through careful cleaning, inspection, and assembly
    • Programmed, calibrated, and tested microfluidic components for accurate performance and functionality
    • Updated and refined documentation and application notes to improve clarity and usability

Other Experience

  • AUG 2017-JUN 2021
    FIRST Robotics Team
    GravitechX - Team Co-Lead (2020-2021), Programming Lead (2019-2020)
    • Programmed vision code (Python, OpenCV), rotating mechanical arm (Java), and projectile launcher (Java)
    • Taught programming, applied for grants, managed budget of $20k, organized projects and meetings
    • Organized the fundraising and distribution of Arduino kits for hands-on learning during the pandemic

Presentations

  • May 2025
    UCLA Undergraduate Research & Creativity Showcase
    “A Phenomenological Model of Reionization”
  • August 2024
    Brookhaven National Laboratory Summer Internship Programs Symposium
    “Quantum error-correcting code architectures” (poster)
  • August 2022
    Lawrence Livermore National Laboratory Summer Slam Special Edition
    “Extending and Smoothing Two-dimension Equation of State Simulation Data”

Publications

  • Dungwatanawanich, N. 2022. “Extending and Smoothing Two-Dimension Equation of State Simulation Data.” LLNL-TR-840394. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). https://doi.org/10.2172/1890073.

Skills

  • C++ , C, Python, Java, Verilog, Lisp, Octave, Bash, and JavaScript/HTML/CSS
  • Git, Jira, Object-Oriented Programming, Functional Programming, Parallel Programming, Linux, and Windows

Other Interests