Hello 👋, I'm ProgrammagableScience, but I go by Matt

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Contact Me:

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• Telephone: 07813661626.
• Email 1: [email protected].
• Email 2: [email protected].
• LinkedIn.

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About Me

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• Geophysicist by trade who fell into Data Science, Machine Learning and Data Engineering.
• My real passion is Software Engineering using Modern C++, and using it to solve problems in Applied Mathematics, the Physical Sciences and aspects of Engineering.
• I'm keen to start learning more about Systems Programming and Engineering, so I'll be looking at some systems-level projects, such as developing a Compiler and Operating System, for example.
• I'm also interested in Computational Science; it takes the best parts of Computer Science and combines them with Science and Engineering.

Education

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• University of Edinburgh: PG ProfDev High Performance Computing: September 2020 - September 2022

  • Modules covered:
    • OpenMP, MPI, Parallel Architectures, GPU Computing, Compilers, Numerical/Scientific Computing Algorithms and High Performance C and Fortran.

• University of Aberdeen: MSc Geophysics: September 2014 - July 2015.

  • Thesis undertook with Centrica plc:
  • Forward Modelling of the Seismic Response of the Sherwood Sandstone Group of the Rhyl Gas Field.
    • Skills: Fortran, Forward Modelling, Rock Mechanics and Quantitative Interpretation.

• University of Liverpool: BSc(Hons) Geophysics with Physics: September 2009 - July 2012.

  • Thesis: Secular Variation and Core-Surface Flow Modelling.
    • Skills: Geomagnetism, Core Dynamics, Inverse Theory, Fortran, Numerical Methods and Fluid Dynamics.

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Interests

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• The table below shows tools and technologies I like working with:

Programming Languages
Scripting
Data Analytics
Things I'd Like to Start Using
Databases
Other

• Machine Learning (Fluid Dynamics). E.g. Application of Deep Learning Algorithms/Methods for replacing or augmenting Conventional Numerical Solvers in Fluid Dynamics.
• Machine Learning (Natural Language Processing). I've used this in a couple of jobs and it proved to be very informative. E.g. I used Sentiment Analysis while working at Tesco to understand customer opinions of Tesco products.
• Computational Science.
• Scientific Programming: E.g. Modelling and Simulation of problems in Fluid Dynamics & the Physical Sciences.
• Systems-Level Programming.

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What I'm Up To

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Currently Working on:

• Up-skilling; Data Structures & Algorithms in C++17/20.

• BVPLib: A C++20 Library for solving Boundary Value Problems, using modern features, such as modules, rather than using traditional methods, such as header files. This project follows the worked example in the book: Guide to Scientific Computing in C++, by Joe Pitt-Francis and Jonathan Whiteley. Note 1: I don't feel they create a library; they create more of a "header file" for BVPs. Note 2: They don't provide certain source files, such as vector.cpp and matrix.cpp. These are exercises for the reader and I will be creating these too. All source code for their/that project is pure C++11 with no use of useful APIs. I might use Eigen to tackle the linear algebra.

Projects on Hold:

• SigProLib: A C++17 Cross-Platform Shared Library which can be used to perform basic signal processing operations. Go here to see it. All of the signal processing techniques have now been developed. Its now a case of constructing the library itself.

Future Projects:

• The following projects are ideas; I might not do them.

• Parallelise aspects/regions of the StokesianFlow solver via the OpenMP API.

• 2DWavePINN: A C++17 program which solves the 2D Wave Equation via a Physics Informed Neural Network (PINN).

• Refactoring 1D_Wave_Equation-MPI into a more modular form. Additions to be added: Unit Testing and Plotting.

• TsunamiSolver: A C++17 Non-Linear Solver which models Tsunamis by solving the 2D Shallow Water Equations.

• OceanLib: A C++17 Library (.so file) which helps users solve Partial Differential Equations (PDEs) that model different 2D Ocean Models.

• Developing a Modern (Pure) Modular Fortran version of NavierStokes-2D-Open-Channel-Flow using OOD. Unlike the original solver, this one uses Coarrays and Domain Decomposition for Parallelism.

• BarotropicCirculation: A C++17 solver which models Large-Scale Ocean Gyres and Wind-Driven Circulation by solving the Linearized Shallow Water Equations on a Beta Plane using FEM.

• basix: a small Linux Kernal written in C.

• ros: a basic Operating System written in Rust.

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Top Languages

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Sample Projects

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• Some projects I'm quite chuffed with can be found below:

Scientific Computing

MATLAB

• GeoFluidics.
  • Application of the Shallow Water Equations to Problems in Oceanography & Planetary Atmospheres.

Fortran

• Navier-Stokes Equation Solver for 2D Open Channel Flow.

Python

• Application of the U-Net Convolutional Neural Network to Classify Salt and Sediment Structures in Oil & Gas Reservoirs.

C++14

• StokesianFlow; A Modern C++ Solver which uses the Finite Element Method and the Eigen Template Library to Model a Liquid Flowing through an Open Channel/River.

C++20

• ParallelLinearNumerics: C++20 Software which uses OpenMP to Parallelise the 3 Classic Algebraic Iterative Methods: Jacobi, Gauss-Seidel and Successive Over Relaxation.

High Performance Computing: Applied Mathematics and Scientific Computing

C

• 2D Poisson Equation Solver with OpenMP.
• 2D Heat Equation Solver using OpenMP.
• 2D Heat Equation Solver using MPI.
• 1D Wave Equation Solver using MPI.

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