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.
MSc dissertation: from-scratch JPEG codec implementing ITU-T T.81 — DCT, quantization, Huffman coding, zig-zag ordering, LZW compression. Validated against libjpeg.
MSc Business Analytics dissertation — DENUE-based market intelligence pipeline for Mexico
MSc Data Science dissertation investigating seismic sensing for traffic monitoring and environmental assessment in Greater Manchester.
MSc dissertation: comparing five federated learning aggregation strategies for client and demographic fairness in chest X-ray classification (NIH ChestX-ray14).
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 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 Dissertation | Dublin Property Price Analysis (2017-2025) using Python, Tableau and Geospatial Analytics
MSc dissertation project. Measures whether vision-language models preserve a flowchart's control-flow structure when generating code, separately from whether the code passes its tests. Four models, two datasets, plus the scoring tool and raw results.
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
MSc Data Science dissertation on cross-house Non-Intrusive Load Monitoring using UK-DALE, with leakage-controlled evaluation, classical ML, deep learning and hurdle models.
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