My MSc dissertation (supervised by Daniel D'Andrea). I integrated multi-omics datasets to construct a regulatory network and benchmarked feature-selection strategies against several learning algorithms to identify candidate molecular drivers of micronutrient deficiency in pregnancy.

A group project investigating the regulatory mechanism of lncRNA MIR100HG in cancer by integrating gene expression, DNA methylation, and transcription factor–target gene data into a reproducible multi-stage pipeline.

An interactive Tableau dashboard integrating six 2011 Census housing tables with house-price and income data. I applied PCA and UMAP for dimensionality reduction to analyse the structural evolution of housing tenure and spatial disparities in affordability.

Constructed context-based word representations to study semantic proximity between content words in English novels, comparing KMeans, Agglomerative Clustering, and DBSCAN alongside graph analysis to uncover latent semantic structures.

Enhanced a baseline Naive Bayes classifier and compared three models for sentiment classification, then applied topic modeling to climate-change discourse, analysing misclassified examples to surface model strengths and limitations.

An AI-powered career companion that takes you from a polished resume to a confident offer: AI resume feedback, AI mock interviewers with switchable personas, 1-on-1 rehearsals with real HR pros, and a learning community. Built with a team of four as our Information Systems Analysis & Design course project.