Dr Phil Swatton is Data Scientist in the Applied Research Centre for Defence and Security (ARC), an applied research team at The Alan Turing Institute. He works on a range of projects on and adjacent to deep learning, which has included work on the effect of dataset similarity on transfer attack success and low-cost measures for pre-trained model selection. Prior to joining the Turing, Phil obtained a PhD from the University of Essex. His thesis focused on the measurement of ideology from survey data, and the application of those measurements under the paradigm of measurement inference to empirical research in political science. He also taught on a range of programming, statistics, and data science courses at both UCL and the Essex Summer School in Social Science Data Analysis.
