AI for Pharma Growth

E202: Recent Advances in LLMs and How They Will Impact Science and Pharma Research

In this episode, Javier Tordable, founder and CEO of Pauling.ai and former Google technologist, explains how modern large language models have evolved into autonomous AI agents capable of executing multi‑step scientific workflows, from literature synthesis to hypothesis generation and computational chemistry simulations. He details how these agents accelerate early‑stage drug discovery by identifying targets, designing molecules, and optimizing clinical trials, while emphasizing the continued need for human creativity and experimental validation. The conversation also addresses the risks of hallucinations and data quality, advocating for hybrid AI‑physics approaches to ensure trustworthy results. Listeners gain a clear view of how LLM‑driven automation can compress R&D timelines and reshape pharma research.