AI Research

WashU researchers are working on ways to use machine learning to not just make predictions about potential chemical compounds but also to model out the synthesis of those materials.

As part of the 2026 Digital Transformation Research Corps, principal investigators Sarah Baitzel and Thomas Cody Prang explored possibilities for ethically enabling the future study and teaching of human skeletal remains.

Funded by a NSF Career Award, Umar Iqbal plans to redesign the web with infrastructures catered to AI agents and to meet higher, safer and stricter standards.

WashU researchers have developed a method called that ranks AI-based imaging tools for accuracy, even when there’s no known “ground truth” to compare against. In tests, it correctly identified the most precise imaging method 95% of the time.

WashU researchers are training AI agents to screen thousands of chemical possibilities and flag the most promising candidates. One project already found 10 new materials that outperform current water-harvesting tech.

WashU’s Research Development Office is opening a new round of Research Seed Grants this fiscal year that will fund projects that meaningfully integrate artificial intelligence into research.

The research finds that LLM-generated pre-bunking significantly reduced belief in election rumors and modestly offset declines in confidence in national election administration.

This summer, WashU’s Digital Transformation Research Corps paired faculty researchers with student developers and designers to turn ambitious research questions into working prototypes.

A global consortium co-founded by WashU Medicine and directed by neurologist Randall J. Bateman, MD, brings together members from academia, major pharmaceutical companies and philanthropic organizations.

A team of computer scientists in Nathan Jacobs’ lab has developed a model that learns to detect fake images by learning which are real.