Andrew Zhang

Focus

01 Reproducible simulation
Simulation pipelines for robotics and healthcare-oriented research.
02 Differentiable modelling
Physics-informed differentiable modelling and inverse optimisation.
03 GPU scientific ML
PyTorch, CUDA, DDP, cuFFT, and custom kernels at cluster scale.
04 Embedded validation
CI automation and safety-aware engineering workflows.

Trajectory

  1. Nov 2025 – Aug 2026
    University of Southern Denmark Thesis Student · EU AirCare Project

    Modelling, simulation, motion-planning, and optimisation workflows for a 3-DoF continuum robotic system intended for upper aerodigestive tract cancer detection.

  2. Jan 2025 – Jul 2025
    Volvo Cars Embedded Developer · EV Charging Function

    EV charging software and smart-charging control contributions in C++17.

  3. Jul 2024 – Dec 2024
    Huawei Germany Machine Learning Engineer

    PyTorch/CUDA-based scientific machine learning for physics-informed modelling.

  4. Aug 2022 – Jul 2023
    NVIDIA Corporation Embedded System Engineer

    Embedded validation workflows across DRIVE and RTX-oriented systems.

Languages

  1. 01 English — full professional
  2. 02 Cantonese — native
  3. 03 Swedish — limited working

Odense, Denmark MSc Computer Science and Engineering