Nathan Clark walks through his work at Benchling, where he managed the Insights business intelligence product and helped develop an early machine learning effort. He explains why operational wet-lab data is fundamentally different from omics data, and why the relationships between samples, programs, instruments, locations, and people matter as much as the experimental results.
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