Bio

I completed my PhD at the University of Southampton, where my research focused on the role of surface texture in the hydrodynamics of aquatic locomotion. This project advanced our understanding of the multiscale interactions involved, addressing whether fish scales might actually enhance swimming efficiency.

I have joined Prof. McKeon's group as part of the SAPPHiRE project (Shear stress And Propagating Pressure in High Reynolds Experiments). This multi-facility (Stanford, Princeton, and Melbourne) experimental campaign focuses on measurements of wall-pressure and shear-stress fluctuations in high Reynolds number boundary layers, advancing our understanding of noise and drag in high-Re settings. My involvement is in the modelling and theory for wall-pressure fluctuations and their origins in the velocity field. Previous models are based on extrapolations from low-Re physics, so I will incorporate new techniques to improve upon these in parallel with the experimental campaign.

Professional Education

  • Doctor of Philosophy, University Of Southampton (2024)
  • Bachelor of Engineering, University Of Southampton (2019)
  • PhD, University of Southampton, Fluid Dynamics (2024)

Stanford Advisors

Contact

  • Academic
    masseyj@stanford.edu
    University - Scholar Department: Mechanical Engineering Position: Postdoctoral Scholar

Additional Info

Links

Projects

  • Modelling the impact of large-scale fluctuations on sub-convective pressure and wall shear stress.

    - **Project Focus:** Examining and modelling the impact of large-scale fluctuations on sub-convective pressure and wall shear stress.
    - **Objectives:**
    - Analyse linear and nonlinear contributions to sub-convective pressure fluctuations.
    - Investigate the origin of sub-convective shear stress fluctuations, particularly wall-normal velocity gradients at the wall.
    - Understand the spatial origins and underlying nonlinear interactions that excite these fluctuations.
    - **Methodology:** Utilise a hybrid approach combining scaled mid-Reynolds number DNS results with high Reynolds number experimental data.

    Location

    Stanford

Lab Affiliations

All Publications

https://orcid.org/0000-0002-2893-955X