Pete Werner
Solutions Architect @Biosero
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WORK HISTORY
Solutions Architect @Biosero
Cambridge, MA, US
As a Solutions Architect at Biosero, I design and deploy closed-loop laboratory automation systems by building the integration layer between digital workflows, data platforms, and physical lab infrastructure.My work focuses on architecting distributed, cloud-native systems that orchestrate experimental workflows end-to-end, connecting LIMS, ELNs, inventory systems, and robotic platforms to enable real-time, data-driven laboratory operations.I have led the development of a containerized execution platform that enables dynamic workflow logic and scalable integration across laboratory systems. This includes building reusable workflow components, event-driven processing, and robust state management to support complex, long-running automation processes.In parallel, I have developed AI-enabled capabilities, including LLM-powered tooling and agent-based interaction layers that support intelligent workflow execution and data-driven decision making. This includes human-in-the-loop systems that guide operator intervention, capture structured experimental metadata, and enable adaptive workflows.I also design and deploy microservices-based architectures on Kubernetes, implementing CI/CD pipelines and scalable infrastructure to support production-grade automation platforms across enterprise laboratory environments.
EDUCATION
Binghamton University
B.S., Biology
SKILLS
ABOUT PETE WERNER
Life science automation architect and technical leader with 20+ years of experience designing and deploying integrated laboratory systems across biotech and pharmaceutical environments. Specialize in building closed-loop automation platforms that connect LIMS, ELNs, and robotic infrastructure through scalable, cloud-native architectures. Design and implement distributed systems that orchestrate experimental workflows end-to-end, combining real-time data pipelines, workflow execution frameworks, and containerized services to bridge digital systems with physical lab operations. Experience developing execution platforms that enable dynamic workflow logic and seamless integration across laboratory systems, as well as building AI-enabled tooling that supports agent-driven workflows and intelligent, data-driven decision making. Focused on enabling scalable, adaptive, and intelligent laboratory operations that accelerate scientific discovery across genomics, proteomics, and drug discovery.
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