About

George Poste

CASI Co-Director Chief Scientist Regents Professor and Del E. Webb Chair in Health Innovation

George Poste is the Del E. Webb Professor of Health Innovation and Chief Scientist at The Complex Adaptive Systems Initiative at Arizona State University. This program integrates research in genomics, synthetic biology and high performance computing to study the altered regulation of molecular networks in human diseases to develop new diagnostic tests for precision medicine and the remote monitoring of health status using miniaturized body sensors and mobile devices. He assumed this post in 2009. From 2003 to 2009 he directed and built The Biodesign Institute at ASU.

Sander van der Leeuw

CASI Co-Director Director, School of Human Evolution and Social Change Dean, School of Sustainability

Sander van der Leeuw’s work focuses on the role of invention and innovation in society. He and his research team investigate how invention occurs, what the preconditions are, how the context influences it, and its role in society. An archaeologist and historian by training, Professor van der Leeuw has studied ancient technologies, ancient and modern man-land relationships, and complex systems theory.

Anna Barker

Research Professor and Director of the National Biomarker Development Alliance, KE Complex Adaptive Systems

Anna is Research Professor in Knowledge Enterprise and Co-director of the Complex Adaptive Systems Initiative (CASI) and Director of the National Biomarker Development Alliance. Her research focuses on the development of new research knowledge networks, projects and models to address major problems in biomedical research and biomedicine. She currently focuses on complex systems science as applied to the discovery and systems development of biomarkers, next-generation clinical trials and the applications of artificial intelligence and advanced analytics for biomarker discovery.

As a key element of ASU’s strategic focus on precision health, Anna will expand the 2.0 mission by building public-private networks to integrate information from early-stage research and patient care to identify and validate new biomarkers to capture the complexity of diseases like cancer.