Summary
Brian Gardner is a Research Fellow and machine learning scientist with a decade of experience applying biologically inspired algorithms to real-world problems across healthcare, computer vision, and neuromorphic computing. He holds a PhD in Computer Science from the University of Surrey and has led cross-disciplinary projects developing novel learning rules for spiking neural networks, event-based vision systems, and scalable SNN training frameworks integrated with distributed tools like Ray. Currently he focuses on NLP and large language models to automate data extraction for systematic reviews, aiming to accelerate literature synthesis in healthcare and disease transmission. Brian combines strong Python software engineering and best-practice development with hands-on research in modelling microbial dynamics and antimicrobial resistance. Colleagues describe him as independently motivated and interdisciplinary, able to bridge theoretical neuroscience and applied AI to deliver practical, reproducible research outcomes. An unusual strength is his track record of moving niche neuromorphic concepts from simulator and algorithm development into applied pipelines for diagnostics and vision tasks.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of Surrey
MPhys Physics, First, MPhys Physics, First at University of Exeter