Agentic AI Scientists
Autonomous LLM agents that reason across chemical space, orchestrate docking and MD pipelines, and design molecules with minimal human steering — the lab partner of the next decade.
From 2026 to 2036, the Giri Pillai Lab is building agentic AI co-scientists, biology foundation models, and GPU-native chemistry that collapse the path from target to clinic — with longevity, rare disease, and global health at the centre.

"Great challenge in science is how to best incorporate the existing knowledge."
Giri Pillai Lab · Science for Society
Three converging frontiers — autonomous AI agents, biology foundation models, and GPU/quantum-native chemistry — rewriting how medicines are discovered.
Autonomous LLM agents that reason across chemical space, orchestrate docking and MD pipelines, and design molecules with minimal human steering — the lab partner of the next decade.
Protein, molecule, and cell-state foundation models (AlphaFold-class, ESM, Boltz) fused with mechanistic ML to map disease biology and longevity targets at unprecedented scale.
Diffusion-based generative chemistry, GPU-accelerated MD, and early quantum-assisted free-energy methods — compressing lead optimisation from years to weeks by 2030.
Milestones we're building toward — from today's agentic prototypes to autonomous, clinic-ready discovery by 2036.