Bryan wears two hats – he works part-time as a Senior Machine Learning Scientist at while also working towards a PhD part-time at Imperial College London & University of Oxford. In both roles he is interested in improving the controlled experiment design and causal inference methods for digital experimentation & measurement, enabling decision-makers to make less biased decisions more quickly.