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Career

  • 2019 - current: PhD Student, DAMTP, University of Cambridge
  • 2018 - 2019: Research Software Engineer, University of Cambridge
  • 2017 - 2018: MMathPhys in Mathematics and Theoretical Physics, University of Oxford
  • 2014 - 2017: BA in Mathematics, University of Oxford

Research

My research focuses on understanding and modelling the dynamics and mixing properties of stratified turbulent flows. Such flows are common in geophysical and environmental settings, where the stabilising presence of gravity means that turbulence is often anisotropic and spatio-temporally intermittent. I am currently interested in two key questions in stratified turbulence. Firstly, what is the importance of the history of the flow in the development of turbulence and how can existing model parameterizations of mixing be adapted to capture the importance of transient dynamics that act to modify the mixing properties? Secondly, how can we use data-driven tools such as machine learning to better understand the structure and evolution of stratified turbulent flows, and what, if any, physical insight can be gained from such `black box' models? I am supervised by Prof. Colm-cille Caulfield.

 

Publications

The influence of far field stratification on shear-induced turbulent mixing
SF Lewin, CP Caulfield
– Journal of Fluid Mechanics
(2021)
928,
a20
Probabilistic neural networks for predicting energy dissipation rates in geophysical turbulent flows
SF Lewin, SMDB Kops, GD Portwood, C-CP Caulfield

Research Group

Atmosphere-Ocean Dynamics

Room

H0.01

Telephone

01223 337887