Matt Price
Creative Director
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolMatt Price is a creative director and co-founder with 8+ years of experience blending market research, strategic planning and copywriting to build cross‑media campaigns for digital, film, social and print. At Glide and through his freelance practice he delivers everything from commercials and posters to CRM programs, editorial content and white papers, often shaping tone of voice and content strategy for technology and luxury brands. His background spans agency leadership roles—running creative teams for Bentley and major accounts—and hands‑on production across channels, giving him both strategic and executional fluency. Unusually for a creative director, he pairs this practice with academic work in AI and imaging as a UCL research fellow, bridging creative storytelling with data and emerging tech. Based in London, he’s comfortable leading teams, designing interfaces and writing speeches or PR material, making him a versatile partner for brands that need idea-driven work grounded in research.
8 years of coding experience
5 years of employment as a software developer
Certificate of Continuing Education, Web Design & Development, Certificate of Continuing Education, Web Design & Development at Birkbeck College, University of LondonBA (Hons), Business Studies, BA (Hons), Business Studies at Sheffield Hallam University
Github Skills (43)
fourier-transform10
pytorch10
bayesian10
differentiable-programming10
bayesian-inference10
machine-learning9
sparse9
quantile9
sphere9
dictionary9
factorization9
wavelet-transform9
convex9
jax9
optimization8
Programming languages (4)
Github contributions (5)
astro-informatics/s2fft
Mar 2022 - Mar 2023
Differentiable and accelerated spherical transforms with JAX
Contributions:5 releases, 31 reviews, 406 commits in 11 months
differentiable-programmingfourier-transformjaxpytorchrecursion-algorithm
astro-informatics/harmonic
Nov 2018 - Jul 2022
Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection
Contributions:2 releases, 22 reviews, 169 commits in 3 years 9 months
marginalmodel-selectionbayesian-inferencemachine-learningestimation
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