I'm Chris Lowis - welcome to my home on the web! I am a member of the Go Free Range cooperative. We work with clients to solve their technical problems and deliver great code.
I was previously Head of Data Science at FutureLearn where I founded and grew a data science team, built data pipelines, analysed data and helped the business become data-driven.
I have a research background with an interest in acoustics, signal processing, statistics and working with and automatically creating metadata. I've done research at the German Aerospace Center, the University of Southampton and BBC Research and Development.
I'm an invited expert on the W3C's Audio Working Group and I like writing about and playing with the Web Audio API. You might be interested in my newsletter Web Audio Weekly.
You can find me on twitter (@chrislowis) or feel free to .
My open-source code and projects are on github in my personal account, or as part of the BBC R&D organisation. A few examples:
- RadioDNS Ruby is a library for working with the Hybrid Radio technology RadioDNS.
- Similarity calculates the similarity between two pieces of text using TF-IDF weights.
- Source Classifier uses a Bayesian classifier to identify programming languages
- Data visualisation in Ruby contains lots of examples of generating charts and graphs using Ruby.
- My port of Peter Norvig's lisp to Ruby.
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