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abdrysdale/README.md

Clinical Data Scientist / Forward Deployment Engineer - PhD graduate in Biomedical AI.

Research focus: haemodynamic modelling with thermoregulation, and deep learning for blood flow prediction. Thesis work involved generating 0D models with thermoregulation, building a 1.44 million virtual patient database for 1D arterial simulation, and designing a novel deep residual graph CNN for haemodynamic metric prediction. Since that hadn't been done before, I now have extensive experience with architectures that don't work for this problem.

Projects: tinytorchtest (PyTorch sanity-check testing), Hazen (MRI QA tooling - lead contributor), Haemflow-cfd (0D haemodynamic modelling with thermoregulation and pareto-front parameter fitting from patient measurements).

  • Primary tools: Python, Fortran, R, Emacs Lisp.
  • Development environment: The Church of Emacs.
  • Bootloader: Gentoo Linux.
  • Hobby tools: Forth, Common Lisp, Rust.
  • Class: Social Justice Mage.
  • Bread: Bread.

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  1. tinytorchtest tinytorchtest Public

    Forked from BrianPugh/torchtest

    An object orientated tiny testing suite for pytorch, based on mltest for tensorflow.

    Python 8

  2. Haemflow-cl0 Haemflow-cl0 Public

    A closed loop, zero-dimensional haemodynamic flow solver with thermal regulation and ECG input. Written in Fortran for speed and wrapped in Python for usability.

    Python 1

  3. emacs emacs Public

    Emacs Lisp 1 1

  4. sbu-physics-mri/mri-repos sbu-physics-mri/mri-repos Public

    A collection of MRI software projects for simulation, analysis, processing, QA, visualisation and reconstruction.

    Python 6

  5. GSTT-CSC/hazen GSTT-CSC/hazen Public

    Quality assurance framework for Magnetic Resonance Imaging

    Python 31 14

  6. specfunc specfunc Public

    Fortran 1