About me
A Data-Centric Research Associate at The Alan Turing Institute with experience in Machine Learning, Computational Fluid Dynamics (CFD), 3D modelling/rendering with Blender, with an Aerospace background.
Member of the open-source Equadratures development group, involved in website design and high level code development in Python.
Successfully attained a PhD in Aerospace Engineering at the University of Cambridge in 2019 supervised by Prof. Paul Tucker, researching instrumented turbine blades with a combination of high-fidelity CFD methods and solvers, developed parallel codes for numerical analysis, mesh morphing and post-processing using Python, C++ and Fortran.
Skills
Examples using these skills can be found on the Project page.
Python
6+ years experience with Numpy, Scipy, Pandas, Matplotlib, Plotly, PyMC3, mpi4py, OpenCV, etc.
C++
3+ years experience.
Fortran
3+ years experience.
Linux
Experience with various distros, and running on HPC clusters, job submission systems, etc.
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Plotly Dash
Multiple dashboards created using Plotly Dash and Bootstrap.
CFD
4+ years of experience with Computational Fluid Dynamics through PhD work.
Meshing
4+ years of experience with 3D complex meshing using ICEM, Pointwise, BoXer, GridPro.
Blender
2+ years of experience creating 3D models with Blender.
PyMC
Experience in Bayesian inference using PyMC.
Bootstrap
Experience in using Bootstrap for webdesign (including this website).
Employment & Education
Applying in Machine Learning (Gaussian Processes) using PyMC3 for physical fluid flows, Computational Fluid Dynamics (CFD), 3D modelling/rendering with Blender (More info in Projects page).
PhD researching instrumented turbine blades loss sources with a combination of high-fidelity CFD methods, including conjugate effects undertaken with the guidance and support of Professor Paul Tucker. Developed parallel codes for numerical analysis, mesh morphing and post-processing using Python, C++ and Fortran.
Graduated with First Class Honours as top of the class with an average of 82%.
Teach fundamental aerodynamics to A-Level and prospective undergraduate students, including demonstration/supervision of the use of the EnFlo national wind tunnel for environmental flow pollutant dispersion experiments.
Analysing environmental flows and dispersion around London’s Marylebone Road in an atmospheric wind tunnel. Continued as part of MEng dissertation project on aerodynamics and flow dispersion (1st Class Honours).
- Creating Bill of Materials and listing their methods of manufacture with the use of engineering drawings.
- Create financial models for negotiation with customers, including the use of VBA scripting to accelerate large spreadsheets, giving a unique understanding of both the engineering and financial aspects.
- Gather technical data by working with different departments.
Awards & Honours
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University of Cambridge
- 1st prize awarded for Q-criterion render of LES of instrumented cascade turbine blade (PhD work).
- Runner-up prize awarded for video of Q-criterion of LES of instrumented cascade turbine blade.
1st prize awarded for photo of LES of turbine blade with leading edge instrumentation.
Prize awarded for graduating with the highest grade in Aerospace Engineering (MEng).
Prize awarded by the Royal Aeronautical Society Farnborough Branch for distinguished performance on the MEng Aerospace programme.
Awarded for first class marks.
Awarded for first class marks.
Awarded for research into wind tunnel modelling of flow dispersion behaviour.
Awarded for first class marks.
Awarded for first class marks.