PhD Researcher • RCSI Dublin

Decoding the
non-coding.

Cancer genomics meets machine learning.

Investigating non-coding driver mutations in breast cancer through deep learning, epigenomics, and large-scale multi-omics integration.

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Faith Ogundimu

Building the bridge between code and cure.

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.

2nd
In Cohort
€146k
Research Funding
26+
AI Agents Built

My Research Themes

Non-Coding Driver Mutations

Investigating the 98% non-coding genome to identify regulatory mutations that drive breast cancer progression, using >5,000 whole genomes from TCGA and ICGC.

Deep Learning for Genomics

Developing CNNs, MLPs, and Hidden Markov Models to predict chromatin accessibility and prioritize candidate driver mutations from multi-omics data.

3D Regulatory Mapping

Creating breast tissue-specific regulatory maps by integrating single-cell ATAC-seq, spatial transcriptomics, and ENCODE regulatory elements.

News & Achievements

December 2025

Built Oncydra - Voice-First AI Oncology Platform

AI Partner Catalyst with Google & ElevenLabs

December 2025

Engineered C.O.R.E. - 9-Agent Cancer MDT System

Google AI Agents Intensive Hackathon

October 2025

Dean's Honours List - Ranked 2nd in Cohort

Dublin City University

October 2025

2nd Place at Google Ireland Hackathon

BGN • TestBuddy AI Platform

October 2025

Perfect 30/30 at Conway Institute Festival

BioSLATE Poster Commendation

August 2025

Best Lay Presentation Award

Breakthrough Cancer Research

June 2025

Government of Ireland Postgraduate Scholarship

€136,000 • 18% success rate

December 2025

Built Oncydra - Voice-First AI Oncology Platform

AI Partner Catalyst with Google & ElevenLabs

December 2025

Engineered C.O.R.E. - 9-Agent Cancer MDT System

Google AI Agents Intensive Hackathon

October 2025

Dean's Honours List - Ranked 2nd in Cohort

Dublin City University

October 2025

2nd Place at Google Ireland Hackathon

BGN • TestBuddy AI Platform

October 2025

Perfect 30/30 at Conway Institute Festival

BioSLATE Poster Commendation

August 2025

Best Lay Presentation Award

Breakthrough Cancer Research

June 2025

Government of Ireland Postgraduate Scholarship

€136,000 • 18% success rate

Research & Publications

BioSLATE Project

2025

BioSLATE: Biomarker Selection and Synthetic Lethality Analysis for Therapeutic Exploration in HGSOC

Faith Ogundimu, Metin Yazar, Colm J. Ryan

Breakthrough Cancer Research Summer Student Scholarship

🏅 Best Lay Presentation 🏅 30/30 Poster Score
Neural Network Research

2025

Using Neural Networks and Foundation Models to Understand Gene Regulation in the MCF-7 Breast Cancer Cell Line

Faith Ogundimu, Simon J. Furney

Final Year Dissertation, Dublin City University

🎓 98% Model Accuracy
Decoding Cancer's Dark Matter

Project Archive

OncoSynth

OncoSynth

Multi-agent system using CrewAI to automate synthetic lethality research—literature mining, druggability scoring, and clinical trial linkage.

C.O.R.E.

C.O.R.E.

Coordinated Oncology Readiness Engine—9-agent system automating cancer MDT case preparation with 95% reduction in genomic analysis time.

Let's Connect

Genomic Oncology Research Group

Role

Government of Ireland Postgraduate Scholar

Supervisor

Prof. Simon Furney, Associate Professor, RCSI

Location

Royal College of Surgeons Ireland
York Street, Dublin 2, Ireland