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Nicholas Steyn

DPhil Student StatML

I am a second year DPhil student studying on the Modern Statistics and Statistical Machine Learning CDT in the Department of Statistics. Following the completion of my undergraduate studies in my home-city of Christchurch, New Zealand, my research career was born within the COVID-19 pandemic.

Between March 2020 and September 2021 I worked in a government-funded modelling programme, applying mathematical and statistical methods to directly inform New Zealand’s COVID-19 policy. It was this experience – using statistical methods in real time to inform policy – that lead me to pursue a DPhil.

I have an undergraduate degree in Statistics and Financial Engineering from the University of Canterbury (2018), and a first-class honour’s degree in Applied Mathematics (2019) from the same university. In addition to being enrolled at University College, Oxford, I am also an affiliate student at Imperial College London.

My research interests are in statistical methodology for epidemiology, the science-policy interface, and real-time outbreak analysis of infectious diseases.