Bristol, England, United Kingdom
Finished a PhD in ML, data science, statistics, AI, all the regular suspects. I am particularly keen on NLP and LLMs, and other generative models. In my PhD research I have primarily worked on unnormalised models for density estimation, but have worked on NLP, outlier detection, unsupervised clustering, changepoint detection and many others! Now I work at Weaviate, where I bring my research background and expertise to developer growth, and I have the unique opportunity to share my enthusiasm and passion for statistics, AI and ML to the world, providing educational and technical content, creating demos, and doing internal knowledge shares related to the latest papers!
Investigated and worked on a research project around disinformation detection, including the exploration of NLP embeddings from large pre-trained language models. Worked in Python with a focus on PyTorch, implementing neural network models and gradient based methods.
I worked in Exeter Central Library, performing many tasks such as stock management, customer service and light office work. This role required customer interaction, good time management and working as a part of a team. I was also responsible for the Flickr account for Libraries Unlimited, which included making social media posts, reaching out to the public online and managing the company's social media presence.
Worked alongside Theo Economou investigating discrete post-processing of total cloud cover to improve weather forecasts using data from the Met Office. Involved independent study and research, as well as programming skills in R, including JAGS and NIMBLE. I presented my work at the Met Office, and currently in the process of writing a research paper.
Undertook a research task with Keith Haines and Chris Thomas in the meteorological department at the University of Reading, with research title 'Calculating Ocean Heat Content in Inhomogenous Measurements'. Involved independent research, working as part of a team, and programming skills in Python. Presented work to colleagues at the university as well as the Met Office.