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๐Ÿ‘‹ Hi, Iโ€™m Neal - Iโ€™m currently Director of Machine Learning at Monzo Bank in London, where weโ€™re focusing on building machine learning systems to help make money work for everyone. I am also building open source machine learning tools at

โœˆ๏ธ Before joining Monzo, I was a Senior Data Scientist at Skyscanner, where I built recommender and ranking systems to improve travel information in the app.

๐Ÿซ Before Skyscanner, I was a Senior Research Associate in the Computer Lab at the University of Cambridge, working on healthcare mobile apps that use smartphone sensors. I spun out this research into a startup that was part of Accelerate Cambridge in the Judge Business School.

๐ŸŽ“ I did my MSci (in Computer Science), PhD (on recommmender systems), and first postdoctoral research position (on Urban Data Science) in the Department of Computer Science at University College London, where I am still an Honorary Research Associate.

My PhD focussed on methods for evaluating collaborative filtering algorithms over time. While at UCL, I also spent time as a visiting researcher at Telefonica Research, Barcelona and worked as a Data Science consultant.

My work has always focused on applications that use machine learning - this has taken me from recommender systems to urban computing and travel information systems, digital health monitoring, smartphone sensors, and banking. You can read more about my work and research in the Press & Speaking and Research sections.