Edinburgh, Scotland, United Kingdom
I am an MSc student in Computer Science at UBC Vancouver, conducting research on the evaluation of AI under Kevin Leyton-Brown and Serena Wang. I have interned at Adarga, Optiver and most recently at Jane Street as a Quant Trader. I will be rejoining Jane Street for another internship in Autumn and joining full time after graduating from my Masters. During my undergraduate degree at The University of Edinburgh, I created and led workshops on ML with EdinburghAI and was a coach for the Edinburgh Ultimate Frisbee Club. I wrote my bachelor's dissertation on musical chord recognition with deep learning. Other interests include music composition and mountaineering.
Received offer to return as a full-time Quantitative Trader
Research engineer for generative tabular models
Received offer to return as a full-time Quantitative Researcher
12 week project on novel research applying large language models (LLMs) to text segmentation: • Interfaced with the OpenAI API & langchain and fine-tuned a Flan-T5 on synthetic data, demonstrating that LLMs can be more effective than BERT-based methods • Developed a benchmarking pipeline with the ML orchestration tools, created evaluation datasets and wrote literature reviews on evaluation metrics/related work in NLP • Deployed pipeline to AWS using Docker, Kubernetes, Github and Flyte Received offer to return as an intern the following year.