Background

Lee was awarded his PhD in computer science in 2019 from the University of Hull. His PHD focused on the optimisation and analysis of complex systems growth models; specifically on models used in the simulation of cancer. Lee used convolutional neural networks (CNNs) to identify structural differences between the clusters formed from different algorithms.

He then moved on to work for an optical computing company as a deep learning engineer. Lee helped to develop a system with a focus on the deep learning; specifically image based networks such as CNNs.

Since joining Aire Logic, Lee’s focus has been on the data engineering and analysis of COVID based data. He has also worked on a vaccination dashboard with NHS Digital, helping to make sure anyone who wants to get the vaccine is not missed.

Technologies

• Python
• Tensorflow
• CUDA
• C++
• Tableau
• SQL
• DataBricks
• AWS
• Keras

Methods

• Unsupervised and supervised machine learning
• Deep learning
• Image processing
• Statistical analysis
• Data visualisation using Python
• Simulation
• Fourier optics