Summary
George Prichard is a machine learning research engineer and founder with 11 years of experience applying cognitive neuroscience to build clinically validated AI products, particularly in mental health and medical imaging. He has led ML teams from prototype to production—shipping voice-enabled therapy and intake systems at scale, accelerating deployment cadence from weekly to daily, and running randomized controlled trials and clinical studies that demonstrate safety and efficacy. As co-founder of Fault Line AI he now focuses on open-source infrastructure for safe AI in high-risk domains, building on prior startups that outperformed industry benchmarks for retinal cardiovascular risk prediction. He blends hands-on engineering (deployment, Docker, AWS, FastAPI) with academic rigor from UCL and Groningen, and is notable for turning neuroscience insights into multi-agent and LLM-powered therapeutic workflows.
11 years of coding experience
7 years of employment as a software developer
Research Masters Cognitive Neuroscience, Research Masters Cognitive Neuroscience at University of Groningen
Bachelor's Degree Cognitive Science, Bachelor's Degree Cognitive Science at University of Leeds
University College London