@ emergenesis.ai

tom

Thomas Moore (he/him) is a complex systems scientist whose work spans large scale media operations and public health. From 2015 to 2025 he worked at Apple, where his team led the design of the company’s first media Network Operations Center during Apple’s transition to streaming services. Later, as manager for Data Science for Apple Media Products QA, his team pioneered the modeling and direct application of software production as a complex adaptive system: specify model selection criteria with care, instrument and measure system response, and shorten feedback loops to guide adaptation toward robustness. His team applied complexity methods and machine learning to quantify test automation metrics across the department and build predictive models of defect lifecycles, providing analyses that informed test prioritization, triage, and release.

Earlier, from 2009 to 2015, he worked as a research scientist at Sandia National Laboratories in the Complex Adaptive Systems of Systems (CASoS) working group. Under a research agreement with the FDA Center for Tobacco Products, he led a multiyear program investigating the sources and dynamics of shifting smoking opinions of individuals under media and peer influences and their role in adolescent smoking behaviors under different policy interventions to shape outcomes at the population scale.. The work was a collaborative effort among epidemiologists, behavioral scientists, and complexity theorists, and it produced several publications that contributed to the early analytics practice of the Center. Additional research as PI with the Department of Veterans Affairs and other agencies and academic institutions applied complex adaptive systems theory in similarly transdisciplinary settings. Prior to Sandia, his work included contributions to the U.S. Air Force satellite program (STEC).