When the Pipeline Breaks: Building ML Infrastructure for Biotech R&D | Session 1

What happens when your ML pipeline breaks halfway through a critical genomics run? In this World Salon panel, ML, data, and platform leaders working in AI-native biotech dig into what it actually takes to build reliable ML infrastructure for R&D at scale. The conversation covers reproducibility, running ML and genomics workloads at scale, and durability, meaning the ability to recover from failures mid-run instead of starting over. Less vendor pitch, more a peer-level discussion of the real problems teams hit and how they solve them. Panelists: Niels Bantilan, Chief Machine Learning Engineer at Union.ai Nathan Silberman, CTO at Artera Recorded July 22, 2026. Hosted by Union.ai in partnership with World Salon. Learn more about Union and Flyte: https://union.ai