
Episode #67
#67 - Foundations of the AI-Ready Lab | Aniket Deshpande, NVIDIA
AI can predict what experiment should happen next. But can the laboratory actually execute it? Aniket Deshpande joins Sura Hadi and Mike Ouren to explore the convergence of biological research, scientific computing and laboratory automation - from genomics, GPUs and protein language models to AI agents, digital twins and the lab-in-the-loop. They dig into what AI is genuinely changing in drug discovery, why experimental validation still matters, what happens when agents need to interact with instruments and scientific systems, and why Aniket prefers thinking about AI as “AI-assisted” rather than simply “AI-ready.” Ultimately, the question isn’t how impressive the model is. It’s whether it moves the science forward. The views expressed by Aniket are his own and do not necessarily represent those of his employer.






