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Imperial and Kings College London – Ph.D. in Safe and Trusted AI.

• Awarded: UKRI Safe and Trusted AI Studentship.
• Advisor: Dr Helen Yannakoundakis.
• I work on establishing new methods for undertanding neural networks.
• I collaborate with Queen Mary University of London on Fundamentals of AI.
• I have completed research studying a range of topics within deep learning:
  • I presented work at NeurIPS in 2024 at the Science for Deep Learning Workshop, on the knowledge sharing capacity of Knowledge Distillation.
  • I presented work at NeurIPS in 2024 at the Science for Deep Learning Workshop, on the properties of sharp minima and their relations to genralisation and calibration.
  • I presented work at ICLR in 2024 at the Principled ML for Low Resource Environments, on the ability of compression methods to preserve orginal neural network functions.

University of Cambridge – M.Phil. in Advanced Computer Science.

• Result: Distinction.
• Advisor: Professor Cecilia Mascolo and Dr Jing Han.
• Thesis: Machine Unlearning Analysis in Audio for Data Privacy.
• Awarded: Simms Prize for Educational Achievement by Lucy Cavendish College.
• Modules studied: (L48), Machine Learning and The Physical World (L46), Principles of Machine Learning, (P342) Human-Centered Research in AI,(R255) Advanced Topics in Machine Learning - Explainable Artificial Intelligence (XAI), Fairness and Bias in AI and Multimodal Machine Learning and (R252) Theory of Deep Learning.

Queen Mary University of London – B.Sc. Computer Science.

• Result: First Class Honors.
• Dissertation: Developing Novel Machine Learning and Data Processing Approaches for Computational Enzymology supervised by Professor Dame Janet Thornton and Dr Roman Laskowski.
• Awards/Titles:
  • Tata Consultancy Services (TCS) Technology Leaders Scholarship in 2020 and 2021.
  • Finalist in the Total Jobs Undergraduate of The Year Award Celebrating Resiliance in 2021.
  • Head of the Staff Student Liason Committee in 2022/23.

AI Policy and Governance Fellow at Talos.

• Furthering international collaboration on AI governance via an 8-week EU AI Policy Fundamentals Programme and a 7-day policymaking summit in Brussels. Research paper submitted to the ICML Workshop on Technical AI Governance.

Visiting Researcher at Queen Mary University of London.

• Producing publications for NeurIPS, ICML and ICLR focusing on fundamental approaches to AI research.

AI Research Scientist at The University of Exeter.

• Developing cutting-edge machine learning models for forecasting days of progression-free survival for IPF patients of The Royal Hospital Bath and the North Bristol Trust Hospital. Won Best Presentation Award at the Biophysical Modelling in Respiratory Medicine - Network Conference 2024.

AI Research Assistant at The European Bioinformactis Institute.

• Combining Alphafold-predicted protein structures and existing structural analysis methods to create novel machine learning methods for enzyme functional prediction in the Thornton Group.

Product Cyber Security Internship at Rolls-Royce.

• Produced a white paper on the importance of implementing DevSecOps at Rolls Royce with deep dives into specific technologies to support the adoption of the DevSecOps framework and worked with NIST, IEEE and ISO regulatory frameworks to initiate cyber resilience-oriented discussions with product and system developers across the Rolls-Royce portfolio.

• Lucy Cavendish College's Simms Prize for Educational Achievement.
• Simmions Foundation Scholarship to attend NeurIPS 2024.
• Doctoral Studentship for UKRI Safe and Trusted AI.
• Biophysical Modelling in Respiratory Medicine - Network Conference 2024 Best Presentation Award.

• Finalist for the Undergraduate of The Year Award Celebrating Resiliance.
• Tata Consultancy Services (TCS) Technology Leaders Scholarship.

• Bryanston English Literature Award.
• Silver in the British Biology Olympiad.
• Gold in the Senior Maths Challenge.

• Sports Scholarship to Bryanston School.
• Outstanding Achievement Award for GCSE's.

Reproducibility: The New Frontier in AI Governance.

• Presented poster at ICML Technical AI Governance Workshop.
• Oral at Kings Artificial Intelligience PreTrain Pre-Conference 2025.
• Invited talk at the Fundamentals of AI Group at Queen Mary University of London.

Knowledge Distillation: The Functional Perspective.

• Science for Deep Learning Workshop (Sci4DL) at NeurIPS conference.
• NeurIPS @ Cambridge: Invited talk at the University of Cambridge.
• Invited talk at the Fundamentals of AI Group at Queen Mary University of London.
• UKRI Safe and Trusted AI Student Showcase.