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General Information

Full Name Antonio Stanziola
Date of Birth 21st November 1990
Languages Italian, English

Experience

  • 2023 - Now
    Research Fellow
    University College London, London, UK
  • 2023
    Consultant
    TTP plc, Cambridge, UK
  • 2019 - 2022
    Research Fellow
    University College London, London, UK
  • 2019 - 2022
    Teaching, teaching assistant, responsible for content, style and automation of Jupyter Notebooks
    Imperial College Executive Education Programme, London, UK
  • 2019
    Post-doctoral researcher
    Imperial College London, London, UK. Università degli Studi di Padova, Padova, Italy
  • 2018 - 2019
    Post-doctoral researcher
    Imperial College London, London, UK
  • 2014 - 2016
    Graduate Teaching Assistan
    Imperial College London, London, UK
  • 2011-2012
    Internship
    Scuola Superiore Sant’Anna (Centro Piaggio), Pisa, Italy
    • Electromechanical design of a bio-inspired robot. Hydrodynamic and magneto-mechanic simulations

Education

  • 2018
    PhD
    Imperial College London, London, UK
    • Ph.D in Biomedical Engineering, thesis on Ultrasound Vascular Imaging.
  • 2014
    MSc
    Chalmers University of Technology, Gothenbourg, Sweden
    • Ms.C in Biomedical Engineering, major in image and signal processing.
  • 2012
    BSc
    Università degli Studi di Pisa, Pisa, Italy
    • Bs.C in Biomedical Engineering, major in biomechanics.

Interests

  • Acoustics
    • Ultrasound imaging
    • Doppler and vasculature imaging
    • Signal processing
  • Numerical methods
    • Scientific machine learning
    • Differentiable programming
    • PDE solutions
    • Acoustic simulation
  • Deep learning
    • Deep learning for scientific computing
    • Computer vision
  • Medical imaging
    • Inverse problems
    • Uncertainty quantification
    • Image analysis

Honors and Awards

  • 2022
    • Co-investigator in the winning EPSRC grant EP/W029324/1 for developing and extending the k-Wave ultrasound simulator
  • 2019
    • Winner of a 1 year research scholarship (Bando n. 13/2019) from Università degli studi di Padova
  • 2016
    • Winner of the Plane Wave Imaging challenge, at the European Symposium on Ultrasound Contrast Imaging
  • 2014
    • Elected by student vote as best teaching assistant of the year for the Bioengineering Department of Imperial College London

Skills

  • Programming Languages
    • advanced: MATLAB, Octave, Python
    • basic: Julia, CUDA, C++, Rust
    • others (advanced): LaTeX, HTML, Markdown
  • Computer Science
    • tools: git, makefile, bash scripting, Continuous Integration tools, Paraview, Slicer3D, FSL, FLIRT, Ansys, Solid Works
    • OS: Linux (debian, arch), MacOS, Windows
    • others: DICOM, HDF5, Nifti, Verasonics Vantage scanner (usage and scripting)

Others

  • Certifications
    • PADI Advanced diving license
    • Car and full-motorbike european driving license
  • Other interests
    • Piano, aviation, macroeconomy, epistemology, cooking, 3D modeling.