Hi, I'm Andrew, an AI researcher currently studying for my PhD in AI (Multi-Agent Reinforcement Learning). I have previously worked at the University of Cambridge on AI research, I am a Google DeepMind Alumni, and I graduated from LJMU with a first class Bachelors (Hons) in Computer Science where I was also the president of the LJMU Computer Science Society. In my personal time, I am a a hobbyist game developer, I enjoy arts/crafts, and I am learning German and Mandarin Chinese. Please reach out if you would like to collaborate, ask questions, or for any other reason!

I intend to gradually start adding more open source projects to this profile that I'm developing, mostly related to my PhD.

LinkedIn: LinkedIn Profile

Kaggle Profile: Kaggle Profile

• 🧠 Reinforcement Learning in Multi-Agent Systems
• 👨‍🎓 Ad-hoc cooperative teamwork (plus who doesn't like a bit of adversarial!)
• 🕹️ Robotics & Simulation

• Deep-Q Network controlled cars in PyBullet - Good exeriment into learning to create custom simulation environments for developing and training AI with PyBullet.
• Graph Neural Network for Drone Trajectory Deconfliction (University of Cambridge) - Creating a neural network with custom attention module to deconflict agent trajectories whilst generalising to the number of agents.
• Multi-Agent System Adversarial Simulation and AI (Bachelors Dissertation LJMU) - Red vs Blue team fighting to eliminate the enemy using a Deep-Q network. Experimented with strategies involving cooperative and adversarial behaviour in relation to reinforcement learning.