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Henry Moss

Research student

Henry Moss

Lancaster University

Fylde College

LA1 4YF

Lancaster

Profile

My research interests lie at the intersection of Statistics and Machine Learning, focusing mainly on Bayesian optimization. I leverage information-theoretic arguments to provide efficient and reliable hyper-parameter tuning for machine learning systems. My favorite application area is natural language processing (NLP) - where we seek to learn from written and spoken text. Current state-of-the-art NLP systems pose particularly interesting tuning problems, as they can take days (if not weeks!) to train and have many configurable hyper-parameters.  I am supervised by David Leslie (Department. of Mathematics and Statistics) and Paul Rayson (School of Computing and Communications).

I completed my undergraduate degree in Mathematics from the University of Cambridge (2016). After enjoying the statistical courses, I took a research placement in computational genetics at the Welcome Sanger Trust. Post-graduation, I participated in the STOR-i internship, which led to completing an MRes and now (since 2017) working towards a PhD.

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