WashU Digital Twin / Physical AI / Predictive Modeling Survey

Published June 5, 2026, via Research News

Dear colleagues,

We are conducting a brief survey to map digital twin, physical AI, computational simulation, and predictive modeling activities across WashU. Our goal is to better understand the infrastructure, expertise, and partnerships needed to support this work across campus.

We use “digital twin / computational simulation / predictive modeling” broadly and welcome responses from anyone whose work involves:

  • building computational models of real-world systems or processes,
  • using data to simulate, predict, optimize, or monitor,
  • or connecting models to real-world systems through sensors, devices, instruments, or operational data.

If you are not sure if this applies to you, we would still appreciate your response.

The survey should take about 5-10 minutes to complete. Please return responses by June 12. Your responses will help inform infrastructure planning, support models, matchmaking, and potential collaborations across campus and with external partners.

Survey link:WashU Digital Twin / Physical AI / Predictive Modeling Survey

We would greatly appreciate your participation. Please also feel free to share this survey with WashU colleagues whose work may be relevant.

Thank you for your time and input.

Mark E. Lowe, MD, PhD
Harvey R. Colten Professor of Pediatric Science
Interim Chair of Pediatrics
Vice Chancellor for Research
Senior Associate Dean for Research, School of Medicine