Summary
Andrew Bolster is a Senior R&D Manager specialising in data science and AI governance with 13 years of experience building production ML capabilities for security-focused products. He leads and scales cross-product data science teams, applying MLOps, NLP, automated vulnerability verification, dynamic payload generation and churn modelling across enterprise offerings at Synopsys/Black Duck. A PhD-trained researcher in autonomous systems and trust, he translates rigorous academic methods into pragmatic architectures and repeatable ML deployment practices. He founded Farset Labs to nurture Belfast’s tech community, demonstrating a long-term commitment to local ecosystem development alongside corporate R&D. Known for architecting TB-scale serverless ETL for security telemetry and for setting LLM approval and AI/GenAI governance, he balances innovation with operational risk controls. His background spans startups to global vendors, combining deep technical breadth with stakeholder-aligned research strategy.
13 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical Electronics and Communications Engineering, Doctor of Philosophy (Ph.D.) Electrical Electronics and Communications Engineering at University of Liverpool
MEng Electronics & Software Engineering, MEng Electronics & Software Engineering at Queen's University Belfast
English, French