Phil Gooch
Executive Producer at Dotdotdot Comics
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolPhil Gooch is an executive producer, founder and technologist with 14 years of experience building AI-driven research tools, publishing platforms and NLP systems from academia to startups. He founded Scholarcy, an award-winning EdTech startup that automated paper summarisation and was later integrated into the Everway group, and now leads creative production at Dotdotdot Comics. His background spans hands-on NLP and information-extraction engineering—contributions include enhancements to the popular node-unfluff library to extract author, date and publisher metadata—alongside senior roles at Babylon Health, Mendeley and Oxford University Press. Phil pairs a PhD in Health Informatics with pragmatic product and business experience, having repeatedly translated research-grade text analytics into commercial services. Known for blending deep technical know-how with editorial and publishing instincts, he thrives at the intersection of content, data and product.
14 years of coding experience
18 years of employment as a software developer
PhD Health Informatics, PhD Health Informatics at City St George’s, University of LondonMSc Computer Science, MSc Computer Science at Birkbeck, University of LondonPGDipOT Occupational Therapy, PGDipOT Occupational Therapy at Queen Mary University of LondonBA Hons Natural Sciences, BA Hons Natural Sciences at Selwyn College Cambridge
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (6)
nodejs10
javascript10
html-parsing10
webscraping10
css-selectors9
testing8
Programming languages (10)
Github contributions (5)
ageitgey/node-unfluff
Feb 2016 - Feb 2016
Automatically extract body content (and other cool stuff) from an html document
Role in this project:
Back-end Developer
Back-end DeveloperContributions:9 commits, 3 PRs in 1 day
Contributions summary:Phil's commits primarily focused on enhancing the `node-unfluff` library's ability to extract information from HTML documents. They implemented features to extract author, date, and copyright information from various HTML meta tags and class names. The user refactored the code for improved readability and maintainability by adding new fields such as publisher. The user also updated the test suite to ensure the accuracy of the new data extraction functionality.
pythonbodycool-stuffhtml-document
philgooch/BADREX-Biomedical-Abbreviation-Expander
May 2012 - May 2013
Contributions:15 commits in 1 year
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