Robbie Hamilton
PhD Student | Computer Vision
School of Computer Science, University of Bristol
robbie.hamilton@bristol.ac.ukAbout Me
Hi, I'm Robbie, a PhD candidate specializing in Computer Vision at the University of Bristol. My research focuses on developing deep learning architectures for low-level computer vision tasks. I have a strong background in machine learning, software development, and physics. I am passionate about solving complex problems and producing research with real-world applications.
I'm also tech lead and co-owner at Curious Minds Science Ltd, where I currently lead the development of in-house growth and analysis software, along with optimisation of our ecommerce conversion funnels and PPC campaigns. I'm really passionate about the intersection of technology and business, especially in the modern world where businesses are heavily dependent on the exposure provided by large online marketplaces, search engines, social media platforms, and now increasingly AI.
Outside of academia, I enjoy contributing to open-source projects, rock climbing, and snowboarding. Feel free to connect with me to discuss exciting opportunities or collaborations!
Professional Skillset
My Research
Other Projects
PyVeeqo
An Open-Source Python Wrapper for the Veeqo Ecommerce API
Experience
Deep Learning | Computer Vision | Ecommerce | Open-Source | Quantum Physics
Current: PhD Candidate (University of Bristol)
Current: PhD Candidate (University of Bristol)
Developing novel deep learning architectures for low-level Computer Vision tasks.
🛠️ Developing deep learning-based perceptual quality models.
📖 Fully funded by EPSRC / University Scholarship.
🌟 Working with Amazon Prime Video UK.
Current: Tech Lead (Curious Minds)
Current: Tech Lead (Curious Minds)
Leading the online development of Curious Minds, a UK-based Ecommerce company.
📈 Helped to increase company revenue by ~100% over 3 years.
🛠️ Developed custom Shopify Liquid code to improve website functionality and conversion rate.
🚀 Utilised Amazon PPC ad campaigns to improve channel sales by over 150%.
📊 Developed custom profit analysis software and dynamic pricing.
🌐 Published an open-source python package for ecommerce.
2025-2026: Software Developer (MarkerBot [UoB])
2025-2026: Software Developer (MarkerBot [UoB])
Worked on MarkerBot, the University of Bristol's marking allocation software.
🛠️ Developed backend logic in Python (SQLAlchemy).
🛠️ Designed new application for unit directors using Microsoft Power Apps & Power Automate.
🚀 Refactored legacy code and improved documentation to align with PEP 8 standards.
🤝 Collaborated closely with the lead developer and regularly presented updates in weekly team meetings.
2022: Research Intern (Carnegie Trust for the Universities of Scotland)
2022: Research Intern (Carnegie Trust for the Universities of Scotland)
Research intern utilising deep learning methods to investigate dynamics of many-body quantum systems
👨🏻🎓 Used Restricted Boltzmann Machines to estimate ground states of many-body systems.
🛠️ Analysed performance of different optimisers for training the RBMs, including Stochastic Gradient Descent and Adam.
📖 Collaborated with academic researchers and attended a physics conference.
2017-2023: Master of Physics, First Class Honours (University of Strathclyde)
2017-2023: Master of Physics, First Class Honours (University of Strathclyde)
Completed a Master's degree in Physics (MPhys) at the University of Strathclyde.
👨🏻🎓 Graduated with First Class Honours.
🏆 Awarded a place on the Dean's List.
📖 Awarded a Carnegie Vacation Scholarship.
⚛️ Research in non-Markovian open quantum systems.
