Zachariah Ngan – Resume

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Zachariah Ngan

Nuclear Engineering Researcher | Plasma Simulation | Digital Twins
profile

I am a nuclear engineer and AI researcher with a strong background in digital twin modeling, plasma kinetics, radiation effects, and meta-analyses in clinical AI. My research spans from CNT radiation detectors to machine learning optimization of plasma systems, with work published and presented across global institutions and conferences.

Experience

Research Assistant – Plasma ModelingMar 2025 – Present

Built digital twin models in Python simulating hydrogen, SF6, and NF3 plasmas. Co-authored AVS 2025 submission.

Illinois Plasma Institute (Remote)
Research Assistant – AI Clinical Meta-AnalysisApr 2025 – Present

Led systematic review of 457 studies, co-authored a manuscript under review by Duke leadership. Focus: mortality and outcome bias.

Duke Heart Center (Remote)
Scientific ResearcherJun 2023 – Present

Modeled and evaluated CNT-based radiation detector systems. Supported Python-based performance analysis.

Jadoo Technologies Inc., Berkeley
Research Student / Capstone LeadAug 2022 – Jun 2023

Simulated irradiation damage using SRIM and MCNP for fusion magnets. Led proposals to LANL and HZDR.

UC Berkeley

Skills

  • Python, MATLAB, Fortran90, C/C++
  • MCNP, SRIM, FISPACT-II, VASP
  • Linux, Google Colab, PyTorch
  • SolidWorks, 3D CAD

Education

M.Eng. Nuclear Engineering – UC Berkeley (2022–2023)
Fung Excellence Scholar
B.Eng. Nuclear and Risk Engineering – CityU HK (2018–2022)
Dean’s List (Upper Second Class Honours)

Languages

  • English (Native)
  • Mandarin (Fluent)
  • Cantonese (Fluent)
  • German (Basic), Arabic (Conversational)

Awards

Fung Excellence Scholarship – UC Berkeley2022–2023
Dean’s List – City University of Hong Kong2018–2022