Antonio Stanziola

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A smart, kind and curious being

and me.

Making something new.

I have been a Research Fellow in Teorectical and Computational Acoustics at the šŸ› Biomedical Ultrasound Group of UCL. I was also member of the Maths4DL programme.

Previously, I was briefly a consultant at TTP in the Health Tech division, after being a Research Fellow at the Biomedical Ultrasound Group, working on Deep Learning for Transcranial Ultrasound Neurostimulation. I have a PhD in Biomedical Engineering, from Imperial College with a specialization in ultrasound vascular imaging and beamforming with contrast agents.

My experience is in various areas more or less related to ultrasound and deep learning, such as acoustics, ultrasound imaging and beamforming, signal processing, numerical methods. I also have background in differentiable programming, PDE modeling, deep learning for scientific computing, medical imaging and inverse problems, computer vision, and image analysis.

I also like dogs and my parentā€™s golden retriever Spritz.

news

Jul 5, 2024 I received the ASA Computational Acoustics Early Career Presenter Award at the 186th ASA Meeting for my presentation on the Application of differentiable programming to wave simulation!
Feb 16, 2023 The paper describing jwave is available on SoftwareX
Dec 9, 2022 Our latest two papers have been published on Arxiv. The first one proposed a Learned Born Series for fast simulation on high-scattering media, and the second one proposes and auto-diff based method for uncertainty quantification in transcranial ultrasound.

selected publications

  1. Physics-Based Acoustic Holograms
    Antonio Stanziola,Ā Ben T. Cox,Ā Bradley E. Treeby,Ā andĀ Michael D. Brown
    2023
  2. j-Wave: An open-source differentiable wave simulator
    Antonio Stanziola,Ā Simon R. Arridge,Ā Ben T. Cox,Ā andĀ Bradley E. Treeby
    SoftwareX 2023
  3. A Helmholtz equation solver using unsupervised learning: Application to transcranial ultrasound
    Antonio Stanziola,Ā Simon R. Arridge,Ā Ben T. Cox,Ā andĀ Bradley E. Treeby
    Journal of Computational Physics 2021