Lorna Jarrett is a PhD candidate in the Safe & Trusted AI Centre for Doctoral Training at King’s College London. Her research, conducted in collaboration with Arm Ltd through an ESRC LISS DTP CASE studentship, explores how hybrid agentic AI systems can enhance workforce analytics and career modelling in the semiconductor sector.

Her project integrates machine learning, multi-agent reinforcement learning (MARL), and human-in-the-loop (HITL) feedback to build ethical, transparent, and data-driven tools for skills forecasting and mobility analysis.

Before joining King’s, Lorna taught Computer Science and digital technologies, exploring data analytics and AI systems prompt engineering, with her students.

Research Interests

• Hybrid AI architectures (ML + MARL + HITL)
• Workforce analytics and skills-mobility modelling
• Responsible and transparent AI systems
• Human-centred and socio-technical design
• Semiconductor sector innovation and education

Thesis Title

Hybrid Agentic AI for Workforce Analytics and Career Modelling

This project investigates how hybrid agentic artificial-intelligence systems can improve workforce analytics and career-path modelling in the semiconductor sector. It integrates machine learning for predictive analysis, multi-agent reinforcement learning (MARL) for behavioural simulation, and human-in-the-loop (HITL) feedback to ensure interpretability and ethical oversight. 

Supervisor Team

First Supervisor: Dr Francesco Ciriello

Second Supervisor: Professor Claire Lucas (Aston University)

Third Supervisor: Dr Naseem Ramli

Research Groups

• Safe and Trusted Artificial Intelligence CDT
• Arm Ltd - CASE studentship partner