Future Labs Live 2026

Most life sciences organizations have the data. They have the models. They're still waiting for Scientific AI to deliver. The bottleneck isn'ttechnology —it's the operating model. Spin Wang, Co-founder and Field CTO of TetraScience, will share the unconventional ways of working that actually move the needle: 90-day iteration cycles, forward-deployed Sciborgs embedded inside customer teams, and a disciplined methodology that pairs data infrastructure with scientific use case delivery. Attendees will leave with a practical framework for organizing their programs—and a clear-eyed view of what separates the organizations achieving tangible Scientific Data and Scientific AI outcomes from those still waiting.