Daniel Giles Email & Phone Number
@ucl.ac.uk
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Who is Daniel Giles? Overview
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Daniel Giles is listed as Science and Technology Lead | Climate monitoring and modelling at Advanced Research + Invention Agency (ARIA), a with 90 employees, based in London, England, United Kingdom. AeroLeads shows a work email signal at ucl.ac.uk and a matched LinkedIn profile for Daniel Giles.
Daniel Giles previously worked as Technical Specialist | Climate modelling and monitoring at Advanced Research + Invention Agency (Aria) and Technical Specialist - Climate Modelling and Monitoring at Advanced Research + Invention Agency (Aria). Daniel Giles holds Doctor Of Philosophy - Phd, Computational And Applied Mathematics from University College Dublin.
Email format at Advanced Research + Invention Agency (ARIA)
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About Daniel Giles
Daniel Giles is a Science and Technology Lead | Climate monitoring and modelling at Advanced Research + Invention Agency (ARIA). He possess expertise in leadership, mathematics, microsoft office, management, microsoft word and 8 more skills.
Listed skills include Leadership, Mathematics, Microsoft Office, Management, and 9 others.
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Daniel Giles work experience
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Technical Specialist | Climate Modelling And Monitoring
Technical Specialist - Climate Modelling And Monitoring
Senior Research Fellow In Machine Learning For Weather And Climate - Ucl'S Centre For Ai
- Acting deputy group leader of the Sustainability and Machine Learning Group.- Oversee and manage ongoing research projects.- Collaborate with various international research groups. - Co-supervise PhD students within the Departments of Statistical Sciences and Computer Science.- Lead the “Tools, Systems and Practices” Met Office Academic Partnership (MOAP) working group.- Supervise BSc and MSc students.- Teach as a guest lecturer for MSc modules.
Senior Research Software Engineer - Advanced Research Computing Centre (Arc)
- Managed ARC's involvement in the UCL Centre of Digital Innovation (CDI). The UCL CDI is a collaborative initiative between UCL and AWS. Performed technical needs assessments and developed data processing pipelines for start-ups within the CDI Impact Accelerator programme. Worked with and supported the PhD funded researchers.- Led a project involving the optimisation of a cosmological code designed to run on peta-scale machines. The optimisation of the codebase involved implementing architecture aware mapping of distributed memory computations.- Managed assistant research software engineers.
Postdoctoral Research Fellow - Department Of Statistical Sciences
- Developed an open source data assimilation software package which implements particle filtering techniques and has applications in atmospheric and tsunami modelling (Julia). - Collaborated with a UK Met Office partner to improve the representation of high resolution information within the Unified Model for climate predictions. - Partnered with AON (reinsurance) to develop real-time approaches for providing historical context to severe weather events. - Developed the numerical software on a project funded by AON (reinsurance) titled: “Production-level Cascadia tsunami hazard model incorporating far-field sources”. - Co-supervised a student's MSc project focusing on developing machine learning approaches to predict atmospheric indices from real observations.
Consultant
- Liaised with scholars across six UK universities to develop an Academy which aims to provide technical training, learning and development, and career development for future careers in the Earth observation domain.- Analysed existing and future skill requirements for the four roles considered: data scientists, data engineers, research software engineers and data assimilation scientists.- Developed career frameworks for the roles considered within the Academy.
Phd Researcher
Dissertation title: Development of fast computational methods for tsunami modelling. Awarded the best PhD thesis in Mechanics across the Schools of Engineering, Mathematics & Statistics and Physics.- Developed a nonlinear shallow water solver (Volna-OP2) optimised to utilise the latest HPC architectures. - Created novel automated techniques which predict local variability of tsunami impact using transfer functions and machine learning methods. - Coupled a fast tsunami solver with a statistical emulator to provide tsunami warnings with associated uncertainties. - Acted as the scientific investigator on a consultancy project funded by the Irish Office of Public Works. - Tutored numerous undergraduate mathematics modules across different schools: Science, Engineering, Computer Science and Business. - Co-supervised a BSc project focusing on developing machine learning techniques for capturing localised tsunami responses.- Co-founded and served as Vice-President of the SIAM-IMA Dublin Area Student Chapter.
Senior Mathematics Tutor
- Provided mathematics help to undergraduate students across the whole university.- Received the Teaching Excellence Award from the UCD student body.
Research Internship
- Awarded a summer research scholarship.- Developed a computational fluid dynamics Python code to model fluid flows in nuclear reactors with an emphasis on implementing particle tracking techniques to track radionuclides.
Research Internship
- Awarded a Science and Engineering summer research scholar fellowship.- Worked independently at developing a mathematical model for predicting influential spreaders in complex network, leading to a peer-reviewed publication. - Selected to participate in the Irish European Study with Industry to carry out mathematical consultancy with alumina refinery company Rusal Aughinish Alumina.
Mathematics, Physics And Applied Mathematics Tutor
- Tutored 10+ secondary school students.
Software Developer
- Tested various web development packages. - Created a cross-platform web application for a Casino, using the AppGyver Composer and Sencha web development packages.
Daniel Giles education
Doctor Of Philosophy - Phd, Computational And Applied Mathematics
Bachelor’S Degree, Theoretical And Mathematical Physics
High School
Frequently asked questions about Daniel Giles
Quick answers generated from the profile data available on this page.
What company does Daniel Giles work for?
Daniel Giles works for Advanced Research + Invention Agency (ARIA).
What is Daniel Giles's role at Advanced Research + Invention Agency (ARIA)?
Daniel Giles is listed as Science and Technology Lead | Climate monitoring and modelling at Advanced Research + Invention Agency (ARIA).
What is Daniel Giles's email address?
AeroLeads has found 1 work email signal at @ucl.ac.uk for Daniel Giles at Advanced Research + Invention Agency (ARIA).
Where is Daniel Giles based?
Daniel Giles is based in London, England, United Kingdom while working with Advanced Research + Invention Agency (ARIA).
What companies has Daniel Giles worked for?
Daniel Giles has worked for Advanced Research + Invention Agency (Aria), Ucl, University College London, Transatlantic Data Science Academy (Uk Met Office And Noaa), and University College Dublin, School Of Mathematics And Statistics.
How can I contact Daniel Giles?
You can use AeroLeads to view verified contact signals for Daniel Giles at Advanced Research + Invention Agency (ARIA), including work email, phone, and LinkedIn data when available.
What schools did Daniel Giles attend?
Daniel Giles holds Doctor Of Philosophy - Phd, Computational And Applied Mathematics from University College Dublin.
What skills is Daniel Giles known for?
Daniel Giles is listed with skills including Leadership, Mathematics, Microsoft Office, Management, Microsoft Word, Physics, Powerpoint, and Research.
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