PNNL

We are proud to announce the second Predictive Phenomics conference organized by Pacific Northwest National Laboratory (PNNL) to be held on June 2–3, 2026 in Washington, DC. The theme of the 2026 conference is Advances in Microbial Design using AI and Automation

The conference will consist of keynotes, invited talks, poster sessions, panels, and a forum for scientists to present research on approaches to study the molecular basis of biological function with a vision to better understand and predict how genomes interact with their environment to produce phenomes. We expect up to around 200 attendees who specialize in pushing predictive phenomics forward via state-of-the-art technologies, automation for microbial phenotyping and design, and AI for microbial design and engineering function.

Conference Topics

High-throughput (HTP) Workflows for Microbial Phenotyping: Integration of measurements with HTP experimentation through scheduling and provenance tracking across instruments.

Automating Platforms with AI: AI approaches, data models, and pipelines to connect experimental platforms with AI for microbial phenotyping and design.

Autonomous Experimentation Through Self-driving Laboratories: Integration of robotics, agentic AI and laboratory information systems for autonomous strain design-build-learn-test cycles.

AI-guided Protein Engineering: Models and automated platforms for enzyme and protein variant design.

AI-guided Pathway Engineering: Multi-omics and phenotypic measurement integration for AI-driven pathway engineering.

Predictive Models for Microbial Engineering: AI models for strain optimization, community interactions, or robust conditions for optimizing phenotype.