Our end-to-end approach for model selection for unsupervised outlier detection algorithms, with an emphasis on parameter tuning. At Zymergen, we integrate robotics, software, and biology to predictably and reliably improve microbial strains through genetic engineering. We design large numbers of microbe variants, then test their performance in high throughput screens…