Education and employment
|2018–||University of Sheffield||Postdoctoral research associate|
|2015–2018||University of Reading||PhD Atmosphere Ocean and Climate|
The project was funded by NERC with CASE sponsorship from the Met Office.
|2013–2014||University of Reading||MSc Atmosphere Ocean and Climate (Distinction)|
|2011–2013||Shazam||Java server developer|
|2005–2006||BuildOnline||Junior software developer|
|2002–2005||University of Southampton||BSc Computer Science (1st)|
|2001–2002||Acterna||Industrial trainee with the Year in Industry scheme|
|1994–2001||Torquay Boys’ Grammar School||A Level Mathematics (A), Physics (A), Music (A)|
- Shaw, J., G. Kesserwani, P. Pettersson (2019) Robust finite volume shallow flow modelling with direct uncertainty propagation: is it worth it? Advances in Water Resources, in revision.
- Shaw, J., G. Kesserwani (2019) Stochastic Galerkin finite volume shallow water model: well-balanced treatment over uncertain topography. ASCE Journal of Hydraulic Engineering, accepted. Preprint at
- Kesserwani, G., J. Shaw, M. K. Sharifian, D. Bau, C. J. Keylock, P. D. Bates, J. K. Ryan (2019) (Multi)wavelets increase both accuracy and efficiency of standard Godunov-type hydrodynamic models. Advances in Water Resources.
- M. K. Sharifian, Y. Hassanzadeh, G. Kesserwani, and J. Shaw (2019) Performance study of the multiwavelet discontinuous Galerkin approach for solving the Green-Naghdi equations. International Journal for Numerical Methods in Fluids.
- Kesserwani, G., M. K. Sharifian, and J. Shaw (2018) Adaptive multi-scale shallow flow model: a wavelet-based formulation. 13th International Conference on Hydroinformatics.
- Chen, Y., H. Weller, S. Pring, and J. Shaw (2017) Comparison of dimensionally-split and multi-dimensional atmospheric transport schemes for long time-steps. Quarterly Journal of the Royal Meteorological Society.
- Shaw, J., H. Weller, J. Methven, and T. Davies (2017) Multidimensional method-of-lines transport for atmospheric flows over steep terrain using arbitrary meshes. Journal of Computational Physics.
- Shaw, J. and H. Weller (2016) Comparison of terrain following and cut cell grids using a non-hydrostatic model. Monthly Weather Review.
- Scientific Finite volume and discontinuous Galerkin methods, uncertainty quantification methods, multi-wavelets, computational hydraulics, numerical weather prediction, reproducible science
- Programming Experienced in Python 3, Java, SQL, AWS DynamoDB
- Knowledge of C, C++17, CUDA, Fortran 2003
- Data formats NetCDF, HDF5, JSON, XML, LaTeX
- Tools OpenFOAM CFD, QGIS, Git, continuous integration and debugging tools
- Systems Debian and Ubuntu Linux, Amazon Web Services EC2, Singularity
|2020||Co-organiser||Flood modelling and forecasting challenges in industry workshop|
|2019||Founder||Sheffield ReproducibiliTea journal club|
|2017||Co-organiser||NERC Frontiers in Natural Environment Research Conference|
|Spring 2019||Guest lecture||Computational methods in water engineering|
|Autumn 2016||Assistant||Fluid dynamics MSc module|
|Autumn 2015||Assistant||Atmospheric physics MSc module|
|September 2015||Assistant||NCAS climate modelling summer school|
|September 2014||Course teacher||Mathematics for Planet Earth|
- March 2019 CO₂ storage in the North Sea: quantification of uncertainties and error reduction, Finse, Norway
- February 2018 University of South Wales mathematics department seminar
- February 2017 Numerical methods for geophysical fluid dynamics, Imperial College London
- December 2016 South-East local centre meeting, Royal Meteorological Society
I have engaged with the general public, parents, and children of all ages, in several scientific outreach activities:
- September 2019 Presented at Pop-up university, Millenium Gallery, Sheffield
- July 2015 Schools physicist of the year awards
- June 2015 East Reading festival
- February 2015 Brighton science festival
- January 2018 High-order finite volume advection
- June 2017 Subsampling for uncertainty quantiﬁcation
- November 2016 Replicating computational atmospheric science
- March 2016 Numerical representation of orography in dynamical cores
- February 2016 Curl-free pressure gradients for accurate modelling of cold air pools
- October 2015 Improving modelled mountain flows with alternative representations of terrain
- April 2015 Discrete vector calculus on Arakawa C grids
- May 2013 Java Generics, London Java Community
|July 2016||Hosted Simon Clark, a PhD researcher on stratospheric theory and YouTube vlogger. Simon delivered a departmental seminar and filmed a weather balloon launch outreach video.|
|July 2016||One week visit to NCAR, hosted by Ram Nair, to discuss my research with WRF model developers.|
|November 2015||Arranged a meeting with Met Office heads of department to discuss PhD progress and future research plans.|
- December 2019 Writing in the Sciences, Stanford University, Coursera
- March 2019 Basic introduction to flood risk and resilience, Brunel University online course
- September 2018 Computational methods for hyperbolic equations with applications, Prof. Toro
- June 2016 Dynamical core intercomparison project summer school, NCAR
- June 2015 Advanced numerical methods for Earth-system modelling, ECMWF
- October 2012 Computing for data analysis, Johns Hopkins University, Coursera
- June 2011 Apache Solr training