I am currently a Research Fellow with the N/Lab in the Nottingham University Business School and a Data Scientist (KTP Associate) with Strategic Innovation Limited. My research interests focus on using AI techniques to support decision-making in sustainable development, particularly in domains such as sustainable transport, energy and food systems.

Area of interests

What I work with: Hyper-heuristics, Evolutionary Computation, Machine Learning, NLP, Agentic AI Systems, Automated Algorithm Design.

Problems I am interested in: AI-driven decision support systems for the automation of complex computational tasks and workflows that helps humans or agents make better decisions.

Early interest, currently exploring: Agentic AI for Metascience, i.e., using autonomous AI systems to accelerate scientific discovery, automate research workflows and improve reproducibility.

Quick links to Machine Learning Assisted Evolutionary Computation for Vehicle Routing Problems (ML4VRP)

• Competition webpage for GECCO’2026

Selected projects

Pharmacy First Evaluation – NHS England Policy Evaluation

For the Pharmacy First evaluation, I focus on the quantitative evaluation of the service within Work Package 2. My work involves analysing national administrative and electronic health record datasets to investigate patterns of service uptake, utilisation and geographic variation across England, and to assess how the introduction of Pharmacy First influences healthcare utilisation within the wider health system.

Agentic AI for Automated Data Visualisation

This research project explores how agentic AI systems can autonomously conduct data science tasks, involving analysing datasets and generating meaningful visualisations. The project implements a multi-agent workflow (LangGraph) using LLM agents capable of reasoning about data, selecting appropriate visualisations and producing interpretable analytical outputs.

Quick link to an agentic AI solution for automated data science tasks, developed in collaboration with Yuhan Guo, Zefei Xie, and Dr. Kai Xu. Submitted to the Agentic Vis Challenge 2025.

• Our submission.
• Competition website

Automated Design of Optimisation Algorithms (PhD Research) I completed my PhD at the Computational Optimization and Learning (COL) Lab.

• PhD Thesis: “Automated Design of Local Search Algorithms for Vehicle Routing Problems with Time Windows”. University of Nottingham, 2023.
  • First supervisor: Professor Rong Qu
  • Second supervisor: Professor Dario Landa-Silva

Optimisation for Wireless EV Charging Infrastructure I was a Research Assistant in the Amicable Charging (AMiCC) research project, delivering eco-friendly wireless charging solutions for electric vehicles, with a focus on optimizing the charging infrastructure.

The project was led by Professor Lucelia Rodrigues (University of Nottingham).

Hyper-heuristic Routing for Haulage Logistics As part of a KTP between the University of Nottingham and Optrak, I contributed to the development of advanced hyper-heuristic routing technologies for real-world haulage logistics. The project focused on designing and implementing optimisation methods for routing problems in complex transport markets, bridging academic optimisation research with industrial deployment.

The project was led by Professor Ender Ozcan (University of Nottingham), Dr Ahmed Kheiri (Lancaster University), and Optrak, supported by KTP Scheme under Project No.KTP11692.

Teaching

I was a Teaching Associate in the School of Computer Science at the University of Nottingham.

• Course co-admin and instructor for the Heuristic Optimisation and Learning NATCOR course, 8-12 April 2024.
• Co-conveyed the module Fundamentals of Artificial Intelligence (2023 spring).
• Modules supported: Mathematics for Computer Scientists, Programming and Algorithms, Systems and Architecture, Computer Fundamentals, Operating Systems & Concurrency, Developing Maintainable Software, Simulation and Optimisation for Decision Support, Data Science and Machine Learning, and Machine Learning.