Data informed computational modelling and analysis of turbulent flow in atmospheric processes

PhD in Space Engineering (Caltech, September 2018) on "Large-eddy simulations of turbulent boundary layers with spatially varying roughness". Key skills include: Numerical modelling using large-eddy simulations (LES) of turbulent boundary layer flows. Transition to turbulence, roughness effects, emphasis on spatially varying roughness distributions, semi-empirical model development and turbulence scaling, wall-modelled flows. Direct Numerical Simulations (DNS) of minimal channel flow to characterise riblet roughness through mean velocity log-layer deficit. Large scale data processing, visualisation, MPI codes, critical analysis.

Analysis of appliance acoustics (compressor noise/vibration transmission reduction), extensive product testing and data analysis, statistical process control, work on time-sensitive warranty issues, manufacturing floor engineering representative to assess product quality and solution implementation issues prior to launch of improved product range (vibration/noiseattenuation).

Analysed seismic data from the 2010-2012 Christchurch earthquakes; focus on non-linear isolator and soil dynamics, site specific response modes, superstructure dynamics, signal processing, data analysis, computational modelling. Team and individual awards for engineering analysis and mathematical modelling. (Collaborative effort with Dr R. Nigbor, UCLA and Prof H. Gavin, Duke University)

Developed a computational model to enable the study of structure-soil interactions in Christchurch city; analytical and computational modelling; multidisciplinary research in elements of civil, mechanical and geotechnical engineering.

Assisting with various workshop fabrication operations; fitting, grinding, drilling, hydrostatic pressure testing, quality control, familiarity with NZ operational health and safety procedures, manufacturing experience (natural gas industry).