2024

• Blogging elsewhere
  Gradient Labs

  Jul 30, 2024

2023

• Audit Bot: a prototype for automated AI audits
  Winning Stanford's AI Audit Challenge

  Jul 21, 2023

• AI adoption: is it obvious yet?
  Categorising AI in today's companies

  Jan 15, 2023

2022

• Machine Learning @ Monzo in 2022
  Annual rundown of ML at Monzo

  Dec 19, 2022

• Evaluating Large Language Models Trained on Code (paper review)
  Notes from reading the paper behind Github Copilot

  Oct 20, 2022

• Mini hack: destroying unpopular tweets
  Delete your tweets!

  Sep 28, 2022

• Monzo's machine learning stack
  Originally published on monzo.com/blog

  Apr 26, 2022

• "Just get some labelled data"
  The under rated art of labelling things

  Mar 7, 2022

2021

• Machine Learning @ Monzo in 2021
  An update from what's been happening in my team

  Oct 28, 2021

• Embedding stores
  Protecting customer data while training neural networks

  Mar 27, 2021

• Releasing modelstore 0.0.5 and the operator CLI
  Originally published on substack.

  Feb 14, 2021

2020

• Building a feature store
  What is a feature store; why & how did we build one?

  Dec 5, 2020

• Why do we write machine learning code?
  The line between "data science" and "production" code doesn't cut it.

  Nov 23, 2020

• Machine Learning @ Monzo in 2020
  We're hiring! Here's an FAQ post with all the typical questions that I receive.

  Oct 19, 2020

• Automate the boring parts
  Hacking on a CLI tool for ML deployments

  Oct 18, 2020

• Combining rule engines and machine learning
  One does not need to replace the other.

  Oct 9, 2020

• Model artifacts: the war stories
  Originally published on substack.

  Sep 13, 2020

• You've trained a model. What's next?
  Originally published on substack.

  Sep 3, 2020

• Software Engineering 2.0
  We have Software 2.0, but are missing Software Engineering 2.0.

  Aug 1, 2020

• Switching hats
  Handovers in four steps.

  Jul 19, 2020

• Shadow mode deployments
  Somewhere between "on" and "off".

  Jul 4, 2020

• Customer service is full of machine learning problems
  And it's not all about bots!

  Jun 27, 2020

• How to over engineer a sound classifier
  Detecting a trivial sound in a quiet environment using deep learning.

  Apr 2, 2020

• Testing SQL the hard way
  Discovering when analytics SQL is completely broken (the hard way).

  Mar 15, 2020

2019

• When is a neural net too big for production?
  On claims that recent transformer models are "too big" for production.

  Sep 29, 2019

• Machine learning, faster
  Thinking about speed when developing machine learning systems at Monzo.

  Aug 13, 2019

2018

• Neural Approaches to Conversational AI (paper review)
  Live notes from a six chapter review.

  Dec 29, 2018

• Using data to build a better help screen
  At Monzo, we use data to help our customers find their own answers faster.

  Aug 1, 2018

• The first 90 days (book review)
  ...being systematic about how you work, not just what you work on.

  May 27, 2018

• Industry stories about machine learning
  My notes from the PAPIs.io 2018 conference in London.

  Apr 15, 2018

• Five lessons from building machine learning systems
  ... to power features in the Skyscanner app! ✈️

  Jan 21, 2018

2017

• Deep learning & medical diagnosis
  Areas where ML is being applied for diagnosis based on medical imaging.

  Dec 4, 2017

• Learning to rank for flight itinerary search
  Searching for the perfect flight is one of the core activities for Skyscanner app users.

  Sep 26, 2017

• The ACM RecSys 2017 keynote on the economics of information
  Four areas of research related to how we interact with information.

  Sep 19, 2017

• Machine Intelligence Summit 2017
  Overview of reworkMI in Amsterdam.

  Jul 4, 2017

• Machine learning for product managers
  A product-centric overview of machine learning.

  Mar 14, 2017

• Crowdsourcing in the London underground with wifi data
  The story behind Tube Star, and future applications for data in transport networks.

  Feb 19, 2017

• Unexpected results in online controlled experiments (paper review)
  “Getting numbers is easy, getting numbers you can trust is quite difficult.”

  Jan 9, 2017

2016

• The machine learning behind farecast (paper review)
  Predicting the black box of flight prices.

  Oct 28, 2016

• Mining large streams of user data for personalized recommendations (paper review)
  Lessons from Investing $1M in Machine Learning for Recommendation.

  Oct 14, 2016

• Solving the continuous cold start problem (paper review)
  A review of a paper from booking.com folks.

  Sep 23, 2016

• Top-N tips for talking with non-data scientsts
  Cross-disciplinary work is hard, until you’re speaking the same language.

  Jul 30, 2016

• What do we mean when we talk about data-driven products?
  Hint: it’s not databases.

  Jun 4, 2016

• Big data: three challenges
  Reflecting on a invited piece I wrote elsewhere.

  Apr 15, 2016

• Intuition in machine learning
  Which perspective of an algorithm makes more sense?

  Mar 11, 2016

• Archetypes of online conversations
  Smart messaging is only one paradigm.

  Feb 9, 2016

• What's next?
  Leaving the University of Cambridge.

  Feb 1, 2016

• Share data or perish
  Yes, it's a play on "publish or perish."

  Jan 29, 2016

2015

• Playing with char-rnn and the NeurIPS 2015 data
  Learning sentence structure from research papers.

  Dec 14, 2015

• mHealth: evidence vs. agility
  Reflecting on mHealth apps and evidence.

  Dec 4, 2015

• Why I reject your data papers
  I believe that research papers are innocent (“accept”) until proven guilty (“reject”).

  Dec 2, 2015

• #wwdh What Works in Digital Health?
  Originally published on urbanmining.wordpress.com

  Jul 24, 2015

• Notes from @RoyalSocMed #telemed Event
  Originally published on urbanmining.wordpress.com

  Apr 9, 2015

• Overview of Mapping Viz Tools
  Originally published on urbanmining.wordpress.com

  Feb 23, 2015

• Extracting Large Datasets from the Google App Engine Datastore
  Originally published on urbanmining.wordpress.com

  Feb 19, 2015

2014

• 2014 in Review
  Originally published on urbanmining.wordpress.com

  Dec 24, 2014

• Random Links from #health2eu
  Originally published on urbanmining.wordpress.com

  Nov 11, 2014

• Health Monitoring with Smartphones
  Originally published on urbanmining.wordpress.com

  Oct 13, 2014

• Easy M: Experience Sampling with Smartphones
  Originally published on urbanmining.wordpress.com

  Mar 26, 2014

• Using Smartphones to Research Daily Life
  Originally published on urbanmining.wordpress.com

  Mar 25, 2014

• 2013 in Review
  Originally published on urbanmining.wordpress.com

  Jan 10, 2014

2013

• Emotion Sense App: Privacy Concerns
  Originally published on urbanmining.wordpress.com

  May 24, 2013

• Chocolate and Champagne
  Originally published on urbanmining.wordpress.com

  Apr 1, 2013

• At the CUSP for Urban Research
  Originally published on urbanmining.wordpress.com

  Apr 1, 2013

• Mobile Context-Awareness
  Originally published on urbanmining.wordpress.com

  Feb 13, 2013

2012

• Open Problems in Shared Bicycle Research
  Originally published on urbanmining.wordpress.com

  Dec 11, 2012

• Open Problems in Recommender Systems
  Originally published on urbanmining.wordpress.com

  Oct 9, 2012

• Recommender Systems @ SIGSPATIAL GIS 2012
  Originally published on urbanmining.wordpress.com

  Sep 29, 2012

• Recommender Systems @ SocialCom 2012 & INTERACT 2011
  Originally published on urbanmining.wordpress.com

  Sep 28, 2012

• On the Unfortunate Naming of 'Data Science'
  Originally published on urbanmining.wordpress.com

  Sep 28, 2012

• Music Data Science Hackathon (Extended)
  Originally published on urbanmining.wordpress.com

  Sep 27, 2012

• Recommender Systems @ ACM KDD 2012
  Originally published on urbanmining.wordpress.com

  Sep 25, 2012

• Bridging Sensors and Emotions
  Originally published on urbanmining.wordpress.com

  Aug 31, 2012

• Data Science Hackathon
  Originally published on urbanmining.wordpress.com

  Apr 30, 2012

• Sensing Emotions at the Cambridge Science Festival
  Originally published on urbanmining.wordpress.com

  Mar 26, 2012

• The Quantified Self... on the Toilet
  Originally published on urbanmining.wordpress.com

  Mar 19, 2012

• A first glance through the CHI 2012 program
  Originally published on urbanmining.wordpress.com

  Jan 25, 2012

• Nudging in the Recommendations
  Originally published on urbanmining.wordpress.com

  Jan 17, 2012

• The A/B City
  Originally published on urbanmining.wordpress.com

  Jan 9, 2012

2011

• A Round Table on Transport Big Data
  Originally published on urbanmining.wordpress.com

  Dec 4, 2011

• Spatial isn't Special
  Originally published on urbanmining.wordpress.com

  Nov 24, 2011

• Two Kinds of Conferences
  Originally published on urbanmining.wordpress.com

  Oct 4, 2011

• Highlights and Recommender Systems @ ACM Ubicomp 2011
  Originally published on urbanmining.wordpress.com

  Sep 27, 2011

• How Smart is Your Smart Card?
  Originally published on urbanmining.wordpress.com

  Sep 21, 2011

• On Data Mining Competitions
  Originally published on urbanmining.wordpress.com

  Aug 30, 2011

• ACM KDD 2011 Poster
  Originally published on urbanmining.wordpress.com

  Aug 18, 2011

• Being Semi Offline
  Originally published on urbanmining.wordpress.com

  Aug 13, 2011

• Data as a mirror
  Originally published on urbanmining.wordpress.com

  Jun 27, 2011

• What's Wrong with Mobile Recommendations?
  Originally published on urbanmining.wordpress.com

  Jun 22, 2011

• Blowing (Filter) Bubbles
  Originally published on urbanmining.wordpress.com

  Jun 20, 2011

• Workshop on Pervasive Urban Applications (PURBA)
  Originally published on urbanmining.wordpress.com

  Jun 18, 2011

• Fare Recommendation
  Originally published on urbanmining.wordpress.com

  May 25, 2011

• Highlights from #chi2011
  Originally published on urbanmining.wordpress.com

  May 8, 2011

• Addressing Overspending on Public Transport Using Recommendations
  Originally published on urbanmining.wordpress.com

  May 2, 2011

• Research on Shared Bicycle Systems
  Originally published on urbanmining.wordpress.com

  Feb 24, 2011

• TfL's Bus Passenger Survey
  Originally published on urbanmining.wordpress.com

  Feb 23, 2011

• Survey: Londoners! How do you get around town?
  Originally published on urbanmining.wordpress.com

  Jan 11, 2011

• Personalised public transport
  Originally published on urbanmining.wordpress.com

  Jan 11, 2011

2010

• Random Picks from ECML/PKDD 2010
  Originally published on mobblog.cs.ucl.ac.uk

  Sep 24, 2010

• SIGIR: Research vs. Reality
  Originally published on mobblog.cs.ucl.ac.uk

  Jul 6, 2010

• Temporal Diversity in Recommender Systems
  Originally published on mobblog.cs.ucl.ac.uk

  May 20, 2010

2009

• ACM RecSys 2009 Keynote (in 140 character chunks)
  Originally published on mobblog.cs.ucl.ac.uk

  Oct 23, 2009

• Netflix Prize: Round 2
  Originally published on mobblog.cs.ucl.ac.uk

  Sep 21, 2009

• Workshop on the Future of IR Evaluation
  Originally published on mobblog.cs.ucl.ac.uk

  Jul 27, 2009

• Recommender Systems @ SIGIR 2009
  Originally published on mobblog.cs.ucl.ac.uk

  Jul 24, 2009

• Intelligent Techniques for Web Personalization
  Originally published on mobblog.cs.ucl.ac.uk

  Jul 12, 2009

• Discussing the Netflix Prize
  Originally published on mobblog.cs.ucl.ac.uk

  Jun 30, 2009

• Netflix Prize Nearly Finished?
  Originally published on mobblog.cs.ucl.ac.uk

  Jun 27, 2009

• Temporal Collaborative Filtering
  Originally published on mobblog.cs.ucl.ac.uk

  Apr 28, 2009

• Similarity Graphs
  Originally published on mobblog.cs.ucl.ac.uk

  Feb 26, 2009

• Research is the New Music
  Originally published on mobblog.cs.ucl.ac.uk

  Feb 23, 2009

2008

• Question/Answers @ RecSys Doctoral Symposium 2008
  Originally published on mobblog.cs.ucl.ac.uk

  Nov 28, 2008

• A Pitch on Future Recommender Systems
  Originally published on mobblog.cs.ucl.ac.uk

  Nov 27, 2008

• Social Computing @ UCL-CS
  Originally published on mobblog.cs.ucl.ac.uk

  Nov 11, 2008

• Tutorials at RecSys 2008
  Originally published on mobblog.cs.ucl.ac.uk

  Oct 24, 2008

• MobiSys: UCL and Birkbeck Research
  Originally published on mobblog.cs.ucl.ac.uk

  Oct 14, 2008

• Solving Research Problems
  Originally published on mobblog.cs.ucl.ac.uk

  Sep 9, 2008

• Efficient Search Not Good for Research?
  Originally published on mobblog.cs.ucl.ac.uk

  Jul 18, 2008

• Strange Bugs
  Originally published on mobblog.cs.ucl.ac.uk

  May 15, 2008

• YouTube Behavior
  Originally published on mobblog.cs.ucl.ac.uk

  Apr 2, 2008

• SAC TRECK 2008
  Originally published on mobblog.cs.ucl.ac.uk

  Mar 21, 2008

• No-Shows and PowerPoint Karaoke @ ACM SAC 2008
  Originally published on mobblog.cs.ucl.ac.uk

  Mar 19, 2008

• Turn Ideas into Money
  Originally published on mobblog.cs.ucl.ac.uk

  Mar 17, 2008

• Filtering By Trust
  Originally published on mobblog.cs.ucl.ac.uk

  Feb 28, 2008

• Workshop on Trust in Mobile Environments
  Originally published on mobblog.cs.ucl.ac.uk

  Feb 15, 2008

• Search Engines and Mediocre Students
  Originally published on mobblog.cs.ucl.ac.uk

  Jan 18, 2008

• History of the future
  Originally published on mobblog.cs.ucl.ac.uk

  Jan 18, 2008

2007

• Redefining Information Overload
  Originally published on mobblog.cs.ucl.ac.uk

  Dec 27, 2007

• Netflix: Winners and Losers
  Originally published on mobblog.cs.ucl.ac.uk

  Dec 14, 2007

• A Hunger for Books (Not Blogs)
  Originally published on mobblog.cs.ucl.ac.uk

  Dec 10, 2007

• Online Identity
  Originally published on mobblog.cs.ucl.ac.uk

  Nov 21, 2007

• RecSys 2007
  Originally published on mobblog.cs.ucl.ac.uk

  Oct 21, 2007

• Artwork Recommenders
  Originally published on mobblog.cs.ucl.ac.uk

  Oct 4, 2007

• Collaborative Filtering is Strange
  Originally published on mobblog.cs.ucl.ac.uk

  Sep 21, 2007

• Recommender Systems and the Long Tail
  Originally published on mobblog.cs.ucl.ac.uk

  Jun 15, 2007

2006

• Recommendation Software
  Originally published on mobblog.cs.ucl.ac.uk

  Nov 14, 2006

• Private Collaborative Filtering
  Originally published on mobblog.cs.ucl.ac.uk

  Jun 7, 2006