Peter Foster is a Research Data Scientist at The Alan Turing Institute. He obtained a PhD in Electronic Engineering from Queen Mary University of London, where he investigated statistical techniques for determining musical similarity. Subsequently, he worked on two industry-focussed postdoctoral projects at Queen Mary. Prior to joining The Alan Turing Institute in January 2020, he worked in the financial technology sector, investigating machine learning solutions for biometric-related applications.
At the Turing, Peter is interested in delivering reproducible insight based on statistical machine learning techniques. He is currently involved with projects related to the Defence and Security, and Finance and Economics programmes.