Dr Elliott Wise: Resume

Email: ell.wise@gmail.com
GitHub: github.com/ellwise
Website: wiseideas.au

Skills/Tools

Software, computing

Data science, mathematics

Libraries: Pandas, Plotly, scikit-learn, Pytorch, Kedro, BeautifulSoup, D3
Classical machine learning: Classification (e.g. Random Forests, LightGBM, Naive Bayes, Causal Bayesian Networks), clustering (e.g. DBSCAN)
Deep learning: Open-AI application development, convolutional autoencoders for image processing
Applied mathematics: Linear programming, discrete event simulation, numerical methods for differential equations

PhD	Numerical Analysis	University College London	2018
BEng (Hons)	Mechatronics	Australian National University	2012
BSc	Mathematics	Australian National University	2012

Focus was on scientific and industrial modelling.
Expertise in applied mathematics, high-performance computing/simulation, acoustics.
Dean’s Prize: Scholarship (£88,000), Faculty of Engineering, University College London.
Summer Research Scholarship (AU$4,000), Math. Sci. Inst., Australian National University.

Senior Advisor | Gutteridge, Haskins & Davey (GHD) | 2021–Present

Data scientist/engineer and simulation specialist within the Data & Insights team.
Clients construct and/or manage large-scale public and private infrastructure.
Projects have spanned many infrastructure sectors: Energy, rail, telecommunications, farming, security.
Leadership roles include overseeing complex data engineering efforts and supporting the development of better working practices internally and externally.
Individual contributions have included the development of simulation tools, dashboards, and data transformation pipelines.
Advisory roles have included data strategy reviews, data architectures, and change management during digital system rollouts.

Senior Consultant | Amey Strategic Consulting | 2019–2021

Data scientist and software engineer within the Data Science & Analytics team.
Clients were organisations involved in the management of public infrastructure, including Kent County Council, Ofgem, Network Rail, the New York Metropolitan Transport Authority, and the Ferrovial Centre of Excellence for Asset Management.
Work included the development of web apps for managing operations, developing and assuring new regulatory policy addressing risk management for large asset bases, data analysis through both classical statistics and machine learning, and the simulation of operational systems of assets for commercial analysis.
Work also included substantial elements of management consulting, including stakeholder management and leading workshops.

Research Associate | Imperial College London | 2018–2019

Mathematician within the Non-Destructive Evaluation group, which develops ultrasonic measurement techniques for detecting flaws in mechanical components.
Development of ultrasonic imaging algorithms for pipe inspections (corrosion in difficult-to-inspect locations). This included software development in Matlab, and the design of deep learning algorithms for image processing (a convolutional autoencoder built with Pytorch).
Simulation of metamaterials, a hypothesised mechanism for sound damping in moth wings that is thought to aid them in avoiding predation by echolocating bats (joint work with the Mathematics department).

PhD Researcher | University College London | 2014–2018

I was a member of the Biomedical Ultrasound Group, which develops new ultrasonic therapies (e.g. cancer ablation, neuro-stimulation) and associated modelling and simulation tools. I also collaborated with computer science researchers at Brno University of Technology.
I contributed to the development of the k-Wave Matlab toolbox for medical ultrasound simulation. This has over 10,000 registered users and more than 700 citations.
My research included four projects, which tackled different aspects of the computational efficiency of the mathematics (Fourier collocation) underlying the toolbox’s acoustic model.
I authored 7 journal papers and 2 conference papers based on work conducted here.

Mathematician | Commonwealth Scientific & Industrial Research Organisation | 2013–2014

This is Australia’s national science agency, whose chief role is to improve the economic and social performance of Australian industry.
My role was within Mathematics, Statistics, and Informatics, primarily applying modelling and numerical simulations to materials science problems, including:
- Designing a polymer filter to bind and capture proteins for antimicrobial use. Involved molecular dynamics and metadynamics simulations (NAMD, LAAMPS).
- Improving the lifespan of ion thrusters (a form of spacecraft propulsion) though better material choice informed by simulations of sputtering.
- Finite-element modelling (COMSOL) the transverse deformation in carbon fibres to aid characterisation of elastic properties.
I also collaborated with a gender studies scholar to investigate changes to the content of AfterEllen (a queer pop-culture news site) before and after its acquisition by MTV. This involved web-scraping and topic modelling.

Consultant | Eggler Consulting Engineers | 2010–2012

Eggler Consulting Engineers provides systems engineering management for military vehicle projects, as well as related teaching services to both industry and academia.
Worked as a consultant to Rheinmetall MAN Military Vehicles on a response to a Defence tender for a fleet of modular logistics vehicles, and prepared teaching materials for the Australian Defence Force Academy.