
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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Leaving Merck to Build a Biotech From Scratch | Örn Almarsson (2/4)

How a Guitarist Became a Drug Delivery Pioneer | Örn Almarsson (1/4)

Don't Build Your Own Cathedral: The Hidden Cost of Lab Space | Philip Borden (4/4)

The Biotech Deal That Became a Leadership Crisis | Philip Borden (3/4)
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