Andrew Zhang

I work on reliable AI evaluation, scientific machine learning, and the systems that make experiments reproducible. My background spans GPU computing, computational robotics, and embedded engineering.

Focus

01 Agent evaluation
Matched experiments, black-box scoring, and intervention-based diagnosis of agent behaviour.
02 Scientific machine learning
Physics-informed differentiable modelling, inverse optimisation, and computational robotics.
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. Apr 2026 – Jul 2026
    KTH Royal Institute of Technology First Author · Agent Step Value

    Studied evaluator-channel reversals in black-box agent traces through matched response surfaces, a frozen PubMed QA audit, and source-only interventions.

  2. 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.

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

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

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

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

  5. 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

Selected manuscript

Andrew Zhang and Chengzhan Li · 2026

Agent Step Value: Auditing Evaluator-Channel Reversals in Black-Box Agent Traces ↗

Education

KTH Royal Institute of Technology
MSc studies · Computer Science and Engineering · 2023–2026
Technical University of Munich
Erasmus+ exchange · Informatics · 2024–2025
University of Glasgow
BEng · Electronics and Electrical Engineering · 2019–2023

Odense, Denmark MSc Computer Science and Engineering