Peter Wood

Product Team Lead at Cambridge Intelligence

Ely, England, United Kingdom
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Summary

👤
Senior
🎓
Top School
Peter Wood is a product team lead and former director of product management with a strong foundation in data science and X‑ray crystallography, blending 15+ years of scientific research with nine years of product leadership. He has steered portfolio-wide transformations at CCDC—introducing quarterly releases, product telemetry with a 78% opt-in, and moving from part-time product owners to a focused professional product management team. Now leading product at Cambridge Intelligence, he coaches and scales product managers and designers while evolving product frameworks across the organisation. His background includes a PhD from Edinburgh and a prolific research record, with multiple peer‑reviewed publications and conference leadership that inform his evidence-driven approach to product decisions. Unusually for a product leader, he also leads music cognition research and directs the Centre for Music and Science at Cambridge, bringing interdisciplinary creativity to technical product work. Based in Ely, UK, he combines scientific rigor, user-centred metrics, and hands-on operational change to deliver measurable product impact.
code9 years of coding experience
job17 years of employment as a software developer
bookPhD X-ray Crystallography, PhD X-ray Crystallography at The University of Edinburgh
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Github Skills (59)

symbolic-music10
r-package10
r10
automation10
mdt10
science10
statistical-learning9
journal9
mir9
imagery9
music-information-retrieval9
spotify9
music9
open-access9
audio8

Programming languages (8)

RC++TeXJavaScriptCommon LispHTMLJupyter NotebookPython

Github contributions (5)

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pmcharrison/psychTestRCAT

May 2018 - Sep 2020

Computerised adaptive testing with psychTestR
Contributions:6 releases, 18 PRs, 71 pushes in 2 years 4 months
testing
pmcharrison/ppm

Mar 2019 - May 2021

ppm (R package) - Implements variants of the PPM statistical learning algorithm
Contributions:5 releases, 108 commits, 6 PRs in 2 years 3 months
ppmrr-packagestatistical-learning
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