Ashley Back
Physics Expert AI Trainer at gained as a Research Scientist at Iowa State and as a Research Assistant at QMUL
St. Austell, England, United Kingdom
Summary
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Senior🎓
Top SchoolAshley Back is a Physics-trained AI practitioner with 11 years of experience translating advanced scientific research into production-grade machine learning and computer vision systems. She has led and mentored large cross-disciplinary teams—notably a 20-person core AI group within the NOvA collaboration—delivering MobileNetV2-based models and a multivariate classifier that raised low-energy signal identification efficiency by 30%. Equally comfortable in research and product settings, she combines PhD-level experimental physics rigor with hands-on prompt engineering, agentic AI validation pipelines, and SDLC best practices to deploy reliable models in regulated environments. Her work spans health tech, automation, and logistics ambitions, guided by a strong ethical commitment and experience advocating AI impacts to diverse stakeholders, including testimony to U.S. Congress. A prolific communicator, she’s given invited talks and conference presentations internationally and supervised student projects that seeded multiple high-impact papers. Outside of work she’s a lifelong learner and tea connoisseur, bringing curiosity and disciplined problem-solving to mission-driven teams.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at Queen Mary University of LondonMaster of Physics - MPhys Physics, Master of Physics - MPhys Physics at University of LeicesterProgramming languages (1)
Github contributions (5)
ashleyrback/echidna
Jan 2015 - Aug 2016
Contributions:93 pushes, 50 branches, 16 comments in 1 year 8 months
snoplusuk/echidna
Nov 2014 - Jun 2016
Contributions:3 releases, 229 commits, 71 PRs in 1 year 7 months
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