Computer Science Colloquia: Building a Human Digital Twin withDiane J. Cook
2021-10-28 16:30 - 17:30 UTC | Virtual: Zoom
Speaker: Diane J. Cook, Huie-Rogers Chair Professor in theSchool of Electrical Engineering and Computer Science at Washington StateUniversity

Abstract:
Digital Twins are a disruptive technology that can automate human healthassessment and intervention by creating a holistic, virtual replica of aphysical human. The increasing availability of sensing platforms and thematuring of data mining methods support building such a replica fromlongitudinal, passively-sensed data. By creating such a quantified self,we can more precisely understand current and future health status. We canalso anticipate the outcomes of behavior-driven interventions. In thistalk, I will discuss the challenges that accompany creating human digitaltwins in the wild, survey emerging data mining methods that tackle thesechallenges, and describe some of the current and future impacts thattechnologies have for supporting our aging population.

Bio:
Diane Cook is Regents Professor and Huie-Rogers Chair in the School ofElectrical Engineering and Computer Science at Washington StateUniversity, founding director of the WSU Center for Advanced Studies inAdaptive Systems (CASAS), and co-director of the WSU AI Laboratory. Sheis a Fellow of the IEEE and the National Academy of Inventors. Diane'swork is featured in BBC, IEEE The Institute, IEEE Spectrum, Smithsonian,The White House Fact Sheet, Scientific American, the Wall Street Journal,AARP Magazine, HGTV, and ABC News. Her research aims to create smartenvironments that automate health monitoring and intervention, evaluatedvia the CASAS Smart Home in a Box installed in over 160 sites across 9countries. Her research currently focuses on developing machine learningmethods that map a human behaviorome as a foundation for constructing adigital twin. She also conducts multidisciplinary research to leveragedigital twin technologies for automatically assessing, extending, andenhancing a person's functional independence.
