Predictive Phenomics Conference: Advances in Microbial Design using AI and Automation

Date & Time: September 22-23, 2026

Website: https://www.pnnl.gov/events/predictive-phenomics-advances-microbial-design-using-ai-and-automation

Location: Washington, DC, USA

The second Predictive Phenomics Conference will be held from September 22 - 23, 2026, at the Washington Marriott at Metro Center in Washington, DC, being organized by Pacific Northwest National Laboratory, Argonne National Laboratory, Lawrence Berkeley National Laboratory, and the University of Washington. This event will bring together top researchers in molecular science, AI, and automation to explore cutting-edge approaches to predicting and manipulating phenomes.

 Conference Themes Include:

• High-throughput workflows for microbial phenotyping

• Automating platforms with AI

• Autonomous experimentation through self-driving labs

• AI-guided protein engineering

• AI-guided pathway engineering

• Predictive models for microbial engineering

 Speakers Include: 

• Dorothy Koch, Director, U.S. DOE Office of Biological and Environmental Research

• Michelle O’Malley, University of California, Santa Barbara 

• Paul Jensen, University of Michigan 

• Arvind Ramanathan, Argonne National Laboratory

• David Weston, Oak Ridge National Laboratory

Opportunities:

• Abstract Submissions: Showcase your latest research and join discussions on these cutting-edge topics. Late-breaking abstract submissions are due by August 12, 2026.

• Registration: Be part of the conversation shaping the future of predictive phenomics.

For more details on themes, agenda, and how to submit, visit the conference website.