Peter McLean

Peter McLean is Director of Data Science and Applied ML at Recursion, where he leads a computational team supporting the company's early-stage discovery platform. Across a decade at Recursion he has helped conceive, build, and deploy foundational components of its high-throughput phenomics capability, including much of the tooling behind its experimental and analytical workflows. His current work centers on the relationship between large-scale ML systems, experimental design and data generation, and early-stage discovery and target identification. He holds a PhD in genetics and cell biology from Yale University and completed postdoctoral research in cellular metrology at Stanford University and the National Institute of Standards and Technology.