Hi, I'm  Pengyu Zhang  Pengyu Zhang!
I'm a PhD Researcher at
Cambridge.

I am a PhD student in the Department of Engineering at University of Cambridge (2023 – 2027 expected), supervised by Prof Mark Girolami. I work at the intersection of physics-informed machine learning and statistical machine learning — building models that learn from data while respecting the laws of physics. Previously, I completed my MEng at University of Cambridge (2019–2023), supported by the Cambridge Trust Scholarship.

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    Publications
    Hierarchical Inference and Closure Learning via Adaptive Surrogates for ODEs and PDEs
    2026
    P. Zhang, A. Vadeboncoeur, A. Glyn-Davies, M. Girolami
    arXiv:2603.03922 · Under Review
    Towards Efficient and Stable Ocean State Forecasting: A Continuous-Time Koopman Approach
    2026
    R. Grozavescu, P. Zhang, M. Girolami, E. Meunier
    ICLR 2026 AI&PDE Workshop
    Koopman Autoencoders with Continuous-Time Latent Dynamics for Fluid Dynamics Forecasting
    2026
    R. Grozavescu, P. Zhang, E. Meunier, M. Girolami
    arXiv:2602.02832
    Inequitable Efficiency: Unravelling the Social and Built Environment Drivers of London's Housing Energy Performance
    2026
    C. Zhang, C. Cao, P. Zhang, R. M. Alvarez, R. Debnath
    Energy Policy, Volume 210, 115057
    Probabilistic Super-Resolution for High-Fidelity Physical System Simulations with Uncertainty Quantification
    2025
    P. Zhang, C. Duffin, A. Glyn-Davies, A. Vadeboncoeur, M. Girolami
    11th International Operational Modal Analysis Conference (IOMAC)
    Internships
    IBM — Physics & AI Research Intern
    Jun–Sep 2025
    Daresbury, UK
    Suochen Technologies — AI Research Intern
    Jul–Sep 2024
    Shanghai, China
    Huawei Technologies — AI Research Intern
    Jul–Oct 2023
    Cambridge, UK