π§ͺ Pleased to have authored the accompanying editorial in the New England Journal of Medicine discussing the scientific foundations behind two clinical trials evaluating computationally enabled physiological assessment for coronary artery disease. duke.is/nejm
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Amanda Randles π§ͺβοΈ π©βπ¬
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Researcher with public evidence across AI research, AI business.
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Director of the Duke University Center for Computational and Digital Health Innovation. Alfred Winborne Mordecai and Victoria Stover Mordecai Associate Professor of Biomedical Engineering. Research in HPC and digital twins for health.
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Honored to be recognized as part of the inaugural SCW75 by Scientific Computing World β celebrating leaders shaping the future of scientific computing across HPC, AI, simulation and research infrastructure. #SCW75 #ScientificComputing #HPC #AI #ResearchComputing #Simulation
Excited to speak today at #ISC2026's A2SD Workshop! I'll be presenting "Chronophysiomics: Autonomous Discovery Through Longitudinal Digital Twins," exploring how AI, HPC, wearable data, and physics-based simulation can enable trustworthy autonomous scientific discovery and predictive healthcare.
The Randles Lab is heading to Hamburg for ICCS 2026! We'll be presenting research on longitudinal cardiovascular digital twins, AI-enabled HPC simulation workflows, and multiscale cancer modeling. Looking forward to great discussionsβcome say hello if you're attending! #ICCS2026 #HPC #DigitalTwins
One of my favorite sessions at #ISC2026 was on AI and the HPC-edge continuum in digital twin workflows with Peter Coveney and Anuj Kapadia. Digital twins aren't just simulation problems. They're workflow problems requiring VVUQ, data management, orchestration, provenance, automation, and physics.
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