What do you do at Metabolon?
As Director of Operations at Metabolon, I sit at the intersection of science and execution. My responsibility is to ensure we can deliver highly complex metabolomics work at scale without compromising quality, reproducibility, or speed. At the end of the day, our teams are turning biological samples into actionable biochemical insights, and my role is to ensure the operational foundation is strong enough to support that consistently.
What makes that especially meaningful is the role metabolomics plays in multiomic science. Metabolomics is valuable as a standalone capability, but it is even more powerful as part of a broader effort to understand integrated biological systems. Supporting that kind of work at scale takes more than great technology. It requires real operational discipline.
What does that look like in practice?
It starts with building an operation that is designed for both scale and scientific rigor. We process hundreds of thousands of samples each year on LC/MS platforms, so every part of the system has to be intentional. That includes how we schedule work, manage capacity, monitor instrument performance, and identify issues before they become problems.
We rely heavily on clearly defined KPIs to track things like rework, uptime, throughput, and turnaround time. Those metrics give us real-time visibility into how the operation is performing and where we may need to intervene. The goal is not just to keep the system moving. It is to keep it moving while protecting data quality and scientific integrity.
How do you maintain quality while operating at that level of scale?
For me, quality has to be built into the system rather than inspected at the end. That means robust LC/MS methods, strong controls, automated liquid handling (which reduces risk), and QC systems that help us detect variability or drift before it impacts results.
It also means thinking beyond basic operational efficiency. In a multiomics environment, consistency matters enormously because the data must stand up not only on its own but also in combination with other omic datasets. If you lack reproducibility and stability over time, integration becomes much more difficult, and the biological signal becomes harder to interpret with confidence.
What role does operational excellence play in Metabolon’s broader strategy?
It is foundational. Operational excellence enables us to scale without sacrificing the quality our partners expect from us. It is also what gives us confidence that data generated today can be compared reliably with data generated months later or across thousands of samples.
That consistency is a strategic advantage. It supports stronger science, better integration across omics, and faster delivery of results. It also gives us the ability to grow thoughtfully. As we expand our offerings, we do it on top of the same operational backbone, with the same expectations around method standardization, quality control, and performance oversight.
What kind of outcomes has that approach delivered?
We have seen very tangible results. We have reduced rework to below 3 percent. This is a strong operational metric, but what matters more is what it enables. This improves data consistency, strengthens downstream analysis, and helps us deliver results to partners more efficiently.
At scale, even small variability becomes visible. That is why I believe operations in this kind of environment have to be predictive, not reactive. Preventive maintenance, volume-based servicing, and continuous performance monitoring are all part of making sure the platform remains stable as demand grows.
How do you think about growth and innovation?
Growth is important, but not at the expense of reproducibility. Innovation is important, but not if it weakens the standards that made the platform trusted in the first place. My view is that every new capability has to be built on the same disciplined foundation.
That means growth and diversification should reinforce excellence, not dilute it. When the operational backbone is strong, you can expand with confidence. You can support more customers, more samples, and more scientific complexity while preserving the quality and reliability that matter most to Metabolon’s customers.
