cv

PhD in Mathematics

Imperial College London

• Higher-Order Interactions in Machine Learning
• Representation learning of Higher-Order Complex Systems

MRes in Biomedical Research (Data Science)

Imperial College London

• Natural Language Processing for Mental Health Text Services
• Super-Resolution for Medical Imaging using Deep Learning

MSci in Mathematics

Imperial College London

Research Assistant - Statistical Physics of Cognition

Imperial College London

Modelling and enhancing the brain images

• Investigating the role of higher-order interactions in the brain
• Developing a super-resolution GAN for two-photon imaging

Research Assistant - The Pissarides Review

Imperial College London

Large-Scale graph and text analysis

• Analysed the UK labour market using 200 million job adverts using graph theory and LLM

Teaching Assistant for Business Analytics

Imperial College Business School

Teaching machine learning and network analysis to MSc students

• Network Analytics, Analytics in Business, Workforce Analytics

Higher-Order Interactions

Define, detect, quantify and reconstruct

• Detected higher-order interactions using kernel-based hypothesis tests
• Quantified higher-order interactions using information-theoretic theory
• Reconstructed higher-order systems (e.g. hypergraphs) using transformers

Super-Resolution using Deep Learning for Biomedical Imaging

GAN-based Physcics-aware super-resolution model

• Mass spectrometry imaging
• Nucleic magnetic resonance spectroscopy
• Two-photon Calcium imaging

Large-Scale Natural Language Processing

Build and Analyse

• Built a Longformer for 10 million mental health messages
• Analysed 200 million job adverts using Llama 2

“Smartest AI Agent” award (runner-up)

Fetch.ai Innovation Lab Hackathon

SIAM AN24 Student Travel Award

Society for Industrial and Applied Mathematics (SIAM)

Cecilia Tanner Research Funding

Department of Mathematics, Imperial College London