Prior to completing a PhD in Reinforcement Learning (RL) in 2024, I worked for 18+ years as a highly respected enterprise developer-analyst in multi-national companies. I therefore possess a deep understanding and considerable experience with enterprise project environments and key business processes. I am a strong communicator, having represented development as technical team lead within cross-functional projects. I am results-oriented, have worked successfully within the agile framework and coming from a pharmaceutical background I care about the quality and societal impact of my work.

My PhD equipped me with a strong background in Machine Learning (ML) methods with experience implementing and extending ML, especially RL, algorithms. I am comfortable analysing data, debugging machine learning algorithms, building tools for analysis and logging while making use of the latest features in existing frameworks and tools. Having previously worked extensively with high profile production systems, I code in a production-aware manner. I am a strong advocate of good design and development practices that I encourage in all teams I work with.

During my PhD I was fortunate to work with a diverse range of people, some of whom I now collaborate with on on-going research initiatives. I have both tutored and mentored students, run workshops on coding and deep dives and given talks on ML and RL. 

Current work, projects and initiatives

I am currently (Oct 2024-Feb 2025) working on AI Safety research while completing the Blue Dot AI Safety Fundamentals Alignment course. It is an excellent well-rounded and well structured course and is very well organised. The discussions every week are stimulating and I will be sad to see the end of it! I have started a blog to document my work in AI safety.  

From January to April 2025 I will work on an AI Safety Scientist project run by the AI Safety Camp. 

I have joined the steering committee of the TVAI (Thames Valley AI). This is an initiative driven by academia, industry and the local community to generate awareness and innovation in AI. We foresee running events in 2025 so if you would like to speak at one of our events please do reach out (LinkedIn).