[ PLACEHOLDER ] DPhil Candidate · Aerothermal Engineering · Oxford

I build physics-grounded machine learning models for aerospace thermal-fluid systems.

[Placeholder one-line pitch — e.g. "Validated against real wind-tunnel and CFD data, my research uses design-of-experiments and Gaussian Process surrogates to optimise heat exchanger geometries for next-generation turbofan engines."]

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Degrees: Undergrad → Masters → DPhil
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[Placeholder] performance gain, Distorted vs Uniform inlet study
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[Placeholder] research projects showcased
Research Journey

From undergraduate curiosity to DPhil-level research

DPhil · 2024–present

[Placeholder] Aerothermal Performance of Surface Heat Exchangers in a Turbofan Bypass Duct

University of Oxford, Department of Engineering Science

[Placeholder summary — experimental + CFD + design-of-experiments study of finned heat exchangers under uniform and distorted inlet flow.]

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Masters · [Placeholder year]

[Placeholder Masters project title]

[Placeholder institution]

[Placeholder summary of masters research project.]

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Undergraduate · [Placeholder year]

[Placeholder Undergraduate project title]

[Placeholder institution]

[Placeholder summary of undergraduate research project.]

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Capabilities

Physical rigour, computational leverage

Experimental & Physical

  • [Placeholder] Wind tunnel rig design & instrumentation
  • [Placeholder] Hotwire anemometry
  • [Placeholder] CFD (Ansys Fluent)
  • [Placeholder] Uncertainty quantification

Computational & AI/ML

  • [Placeholder] Design of experiments
  • [Placeholder] Gaussian Process surrogate modelling
  • [Placeholder] Multi-objective optimisation (NSGA-II)
  • [Placeholder] MATLAB / Python data pipelines