PhD Researcher • RCSI Dublin
Cancer genomics meets machine learning.
Investigating non-coding driver mutations in breast cancer through deep learning, epigenomics, and large-scale multi-omics integration.
About Me
I'm a first-year PhD student at the Royal College of Surgeons Ireland, investigating non-coding driver mutations in breast cancer using large-scale genomic datasets including TCGA, ICGC, and ENCODE.
My research applies deep learning and integrative computational approaches—including CNNs, multilayer perceptrons, and Hidden Markov Models—to identify functional variants in regulatory elements and uncover novel therapeutic vulnerabilities.
I completed my B.Sc. in Genetics and Cell Biology at Dublin City University with First Class Honours, ranking 2nd in my cohort (Salutatorian) and earning a place on the Dean's Honours List.
Research Focus
Investigating the 98% non-coding genome to identify regulatory mutations that drive breast cancer progression, using >5,000 whole genomes from TCGA and ICGC.
Developing CNNs, GNNs, MLPs, and Hidden Markov Models to predict chromatin accessibility and prioritize candidate driver mutations from multi-omics data.
Creating breast tissue-specific regulatory maps by integrating single-cell ATAC-seq, spatial transcriptomics, and ENCODE regulatory elements.
Currently exploring Arduino and ESP32 prototyping as a practical bridge from machine learning research into surgical robotics and autonomy workflows.
Currently Exploring
Latest Updates
June 25, 2026 (Upcoming)
Observer/Attendee • University of Manchester • Event Website
May 27, 2026 (Upcoming)
Using Neural Networks and Foundation Models to Understand Gene Regulation in the MCF-7 Breast Cancer Cell Line • Event Website
February 2026
Hack-Nation 4th Edition • ElevenLabs Track
October 2025
Dublin City University
October 2025
Google Ireland • 500+ Applicants
October 2025
BioSLATE Poster Commendation
August 2025
Breakthrough Cancer Research
June 2025
Nationally Competitive Award • 18% Success Rate
Publications


Featured Project
Offline-First Clinical MDT Copilot
A multimodal oncology decision-support prototype integrating Path Foundation whole-slide embeddings, MedGemma clinical reasoning, and MedASR transcription into a clinician-facing MDT workflow.
Built as a local-first desktop stack (React/Electron + FastAPI + SQLite) to support reproducible case review and patient snapshot replay for low-connectivity clinical environments.
Previous Work




Multi-agent system using CrewAI to automate synthetic lethality research—literature mining, druggability scoring, and clinical trial linkage.
Get In Touch
Role
Government of Ireland Postgraduate Scholar
Supervisor
Prof. Simon Furney, Associate Professor, RCSI
Location
Royal College of Surgeons Ireland
York Street, Dublin 2, Ireland