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 (Salutatorian) and earning a place on the Dean's Honours List.

2nd
In Cohort (Salutatorian)
€149k
Research Funding
35+
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, GNNs, 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.

Surgical Robotics & Embedded AI

Currently exploring Arduino and ESP32 prototyping as a practical bridge from machine learning research into surgical robotics and autonomy workflows.

Currently Exploring

News & Achievements

June 25, 2026 (Upcoming)

Attending UK Functional Genomics Initiative Scientific Symposium

Observer/Attendee • University of Manchester • Event Website

May 27, 2026 (Upcoming)

Presenting at AICC Annual Symposium

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

February 2026

Top 10 Finalist (1,500 Participants) - HealthCallPilot

Hack-Nation 4th Edition • ElevenLabs Track

October 2025

Dean's Honours List - Ranked 2nd in Cohort (Salutatorian)

Dublin City University

October 2025

Google Ireland Hackathon by BGN - TestBuddy (2nd Place)

Google Ireland • 500+ Applicants

October 2025

Perfect 30/30 at Conway Institute Festival

BioSLATE Poster Commendation

August 2025

Best Lay Presentation Award

Breakthrough Cancer Research

June 2025

Research Ireland Postgraduate Grant (€136,000)

Nationally Competitive Award • 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

Oncydra

Oncydra

Voice-first AI oncology platform with 7 Cloud Run microservices and 26+ Google ADK agents for symptom tracking, scheduling, and clinical workflow support.

HealthCallPilot

HealthCallPilot

Agentic voice AI appointment orchestration system with Twilio calling, FastAPI tool-calling, Google Calendar integration, and real-time WebSocket dashboards.

AlphaMimic

AlphaMimic

AI-powered biomimicry research platform with 10 agents and 5 services that converts biological papers into engineering-grade biomimicry packets with full provenance-aware design outputs.

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