Ben Hsieh. Two decades operating automation through the moments that mattered.

Ben's approach treats the laboratory as one integrated system — instruments, software, middleware, and operations engineered together, not optimized in isolation. He builds technology roadmaps that align R&D velocity with regulatory rigor, embracing AI and cutting-edge automation to compress development cycles without compromising reliability. Every engagement starts with a clear architectural thesis: map the data flows, define the integration boundaries, and design for scale before the first vendor is selected.

Execution follows the engineering V-Model — user requirements and design inputs on the left, verification and validation on the right. Installation Qualification (IQ), Operational Qualification (OQ), and Performance Qualification (PQ) are treated as core engineering deliverables, not afterthoughts. Verification proves the system was built right; validation proves it meets its intended purpose under real-world load. That discipline is what lets an automation program survive FDA, CLIA, and CAP scrutiny — and scale from pilot to 40,000 samples per day.

He brings AI-augmented development practices to every engagement: clearly defined design inputs, written acceptance criteria, and a qualification path that protects first-pass rate and uptime as volume grows — without sacrificing the flexibility a biological assay demands.