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 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, 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.
Latest Updates
December 2025
AI Partner Catalyst with Google & ElevenLabs
December 2025
Google AI Agents Intensive Hackathon
October 2025
Dublin City University
October 2025
BGN • TestBuddy AI Platform
October 2025
BioSLATE Poster Commendation
August 2025
Breakthrough Cancer Research
June 2025
€136,000 • 18% success rate
December 2025
AI Partner Catalyst with Google & ElevenLabs
December 2025
Google AI Agents Intensive Hackathon
October 2025
Dublin City University
October 2025
BGN • TestBuddy AI Platform
October 2025
BioSLATE Poster Commendation
August 2025
Breakthrough Cancer Research
June 2025
€136,000 • 18% success rate
Publications


Featured Project
Voice-First AI Oncology Care Platform
A comprehensive voice-first AI oncology platform built with 7 Cloud Run microservices and 26+ Google ADK agents. Features real-time symptom tracking, AI-powered phone calling for appointment booking, treatment timeline management, and clinician dashboards with SOAP note generation.
Implements multiple orchestration patterns including Sequential, Parallel, Loop, Review, HITL, Fan-Out/Gather, and Critique for robust clinical workflows.
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