I am completing my PhD in Computer Science at Trinity College Dublin, where my research has focused on mathematics‑driven quantitative methods, foundational machine learning, generative AI and natural‑language processing (NLP) with the motivation of making conversational agents more human like. My doctoral work produced a highly scalable, compute/cost effective and most importantly, secure inference infrastructure for running multi-adapter LLM systems in parallel asynchronously. One of the key advantage of this approach is to run Agentic AI Systems locally on premise with reduced memory footprint up to 90% . Prior to my PhD, I gained entrepreneurial experience developing misinformation analysis tools like NewsChase and Fictometer, alongside recent research mitigating bias in Large Language Models – a crucial step towards a fairer and more trustworthy AI landscape. These experiences gave me a first‑hand understanding of the commercial lifecycle of data‑driven products, from ideation and MVP delivery to user acquisition and iterative refinement.
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Research Themes:
Data Security, Privacy & Governance
Research Programmes
AI-Go
A governance platform that maps every AI model a company runs, tracks performance and cost, and recommends where models can be consolidated.
AIRIS
A RegTech platform for reporting serious AI incidents under Article 73 of the EU AI Act, connecting enterprise compliance systems directly to regulators.
AutoTwin-TSN
An AI-assisted digital twin that automates the design, configuration and validation of converged 5G and Time-Sensitive Networking for industrial automation.
