Conference

Predictive Phenomics: Advancing Molecular Science for Controlling the Phenome

Predictive Phenomics Conference Header

We are proud to announce the inaugural Predictive Phenomics conference organized by Pacific Northwest National Laboratory (PNNL) in Richland, WA. The theme of the 2025 conference is Advancing Molecular Science for the Characterization and Manipulation of the Phenome. 

The conference will consist of keynotes, invited talks, poster sessions, PNNL tours, 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 ~200 attendees who specialize in pushing predictive phenomics forward via state-of-the-art technology development and science.

Conference Topics

  • Deciphering Molecular Interactions: Uncovering the intricacies of molecular interactions that underpin biological function.
  • Multi-omics Characterization of Biological Samples: Integrative analysis of genomic, transcriptomic, proteomic, and metabolomic data.
  • Spatial and Single-Cell Biology: Techniques and discoveries in spatial and single-cell biology that reveal the complexity of phenotypes.
  • Identification of Novel Molecular Species: Discovery of new molecular entities, including proteoforms, post-translational modifications, and small molecules.
  • Molecular Characterization of Phenotypes: Approaches to define and describe phenotypes at the molecular level.
  • Integrating Molecular Data to Predict Phenotype: Leveraging multi-omics data for predictive modeling of phenotypes.
  • Controlling and Engineering Phenotypes: Advances in the manipulation and engineering of phenotypes.
  • Understanding the Dynamics of Phenotypes: Insights into the temporal dynamics and variability of phenotypes.

Keynote Speakers

Katrina M. Waters, Pacific Northwest National Laboratory
Richard D. Smith, (Retired) Pacific Northwest National Laboratory

Invited Speakers

Lan Huang, University of California
Andrew Emili, Oregon Health & Science University
Hans Van Dongen, Washington State University
Kristin Burnum-Johnson, Pacific Northwest National Laboratory
Davinia Salvachua Rodriguez, National Renewable Energy Laboratory
Yinjie Tang, McKelvey School of Engineering
Cranos Williams, NC State University