msc-dissertation

MSc Informatics dissertation project - University of Edinburgh: Curiosity in Multi-Agent Reinforcement Learning

Exoplanet Transit Detection using Deep Neural Networks written in Python

Bias-aware multimodal hate-speech detection - BERT + CNN + BiLSTM with structured features. Full MSc dissertation record, including the branches that failed.

An explainable multi-model NLP framework for post-earnings stock direction prediction. MSc Business Analytics capstone, Trinity College Dublin x EY.

A multimodal deep learning framework integrating MobileNet and BiLSTM architectures to synchronize facial landmark detection and audio feature extraction for robust emotion recognition.

MSc Dissertation | Dublin Property Price Analysis (2017-2025) using Python, Tableau and Geospatial Analytics

MSc dissertation evaluating targeted website fingerprinting on Tor Browser. Built a traffic collection pipeline and feature extraction framework, then trained Random Forest and SVM classifiers on encrypted Tor traffic to identify both visited websites and browser configuration characteristics, achieving up to 88% accuracy

MSc Business Analytics dissertation — DENUE-based market intelligence pipeline for Mexico

MSc dissertation investigating whether a small combinator-style vocabulary describes how generative pattern algorithms compose, demonstrated via an interactive UI.

MSc dissertation: comparing five federated learning aggregation strategies for client and demographic fairness in chest X-ray classification (NIH ChestX-ray14).

MSc Dissertation - Data Science - Text Classification

Simulation framework for NHS emergency department triage optimization using a Mixture-of-Agents (MoA) architecture — built with SimPy, LangGraph, and FHIR-compliant synthetic data to reduce patient wait times and improve resource utilization.

Integrated 16S + shotgun metagenomics workflow for kvass fermentation (QIIME2, MetaPhlAn4, Kraken2, HUMAnN3, DRAM2) with reproducible outputs.

MSc dissertation (KCL): re-measuring IoT intrusion detection under an attacker-machine holdout, and testing whether LLM-based packet prediction improves it. macro-F1 0.90 -> 0.60 once leakage is removed.

A Python implementation of a Hopfield Neural Network for pattern recognition using Hebbian learning, developed as part of an MSc Data Science dissertation.

MSc conversational-AI dissertation portfolio with reproducible analysis and responsible-AI documentation

Correlating Windows 11 forensic artefacts (Prefetch, Event Logs, ShellBags) to reconstruct user activity. MSc Cyber Security & Forensics dissertation, University of Westminster

MSc dissertation — XGBoost pipeline screening 50,000+ RNA sequences for thermoswitch behaviour, achieving R²=0.90 and reducing screening time from hours to milliseconds