Nina Dethlefs

Nina's research interests lie at the intersection of machine learning and natural language processing (NLP), particularly in the areas of data-to-text and natural language generation (NLG), interactive systems, assistive technologies, domain transfer and adaptability for data analytics in a wider AI context. She has spent the last few years working with neural networks as a primary algorithm family but have previously worked with graphical models, clustering and reinforcement learning. Most recently she has become interested in applying AI and NLP in "useful" contexts such as mental health and the environment, particularly towards sustainability. She is interested in the digitalisation of the offshore wind industry to make wind turbines more reliable, and in the effects of human activity on water quality and the forecasting of natural events such as floods.