Researcher and engineer with extensive experience conducting and applying research in AI and machine learning to real world problems and data. Currently exploring AI safety and societal impacts of AI models.
EXPERIENCE
Senior Data Scientist
The Alan Turing Institute
2022 - Present
Data Scientist 2021-2022
Safety testing pre-release frontier models.
Building infrastructure for evaluating LLMs and human-AI experimentation.
Delivered multiple applied research projects with government stakeholders.
Built large scale cloud data/ML pipelines.
Data Scientist
Curve Analytics, 2021
Developed and deployed search traffic ranking solutions and recommender systems at data science consultancy.
SKILLS
Python
SQL
Azure/AWS/GCP
Docker
Git
PyTorch
HF Transformers
Scikit-learn
Pandas
Flask
Gradio
FastAPI
EDUCATION
MEng (1st), Computer Science with Innovation
University of Bristol
2016 - 2020
Dissertation (1st): NLP classifiers for misleading headline detection.
Units taken include: Applied Data Science, Applied Deep Learning, Machine Learning, Design & Systems Thinking for Innovation
🎭 LLM Disinformation
Evaluating LLMs for malicious info ops
Measuring compliance and "humanness" of AI-generated election disinformation.
🐙 Prompto
Facilitating LLM experiments
Python library for asynchronous querying of LLM endpoints.
🦤 DoDo Learning
Cross-domain abuse classification
Exploring domain-demographic transfer performance in language models for abuse classification.
🔭 Online Harms Observatory
Tracking online abuse
Building pipelines and deploying language models to deliver real-time analytics on online harm.