Student in the AIMS CDT (Centre for doctoral training in Autonomous Intelligence Machines and Systems). I'm interested in how we evaluate models on complex criteria (such as with learned reward functions), how we can systematically generate examples the model finds challenging (as in curriculum/active/adversarial learning) and how we can turn this into a useful training paradigm (such as RLHF or open ended RL).

Researching novel techniques for few-shot segmentation of images and video, with work submitted to NeurIPS at the end of the internship.

- Founded company during university to speed up the research process with machine learning.- Completed seed round in summer 2020 and went through Y Combinator's summer 2021 batch- Primary responsibility was to lead the science team to build cutting edge machine learning models and data processing architecture.

- Co-founded company to provide highly accurate COVID-19 testing at scale during national shortage.- Grew company to £2M+ revenue and 30+ staff before exiting in late 2020.- Primary responsibility was to lead the development of Halo's pioneering app and digital infrastructure, and to facilitate its integration into the rapidly growing workforce.

- 10 week internship at world leading hedge fund- Researched and developed novel machine learning models for anomaly detection in tensorflow

- Spring intern programme- 'Hackathon' challenge prize winner- Introduction to the intersection of quantative finance and technology