Bio
Petabytes of data about human movements, transactions, and communication patterns are continuously being inadvertently generated by technology from mobile phones to credit cards. As an Omidyar Fellow at the Santa Fe Institute, I am currently analyzing behavioral datasets that represent the social network topology and dynamics of entire countries within both the developed and developing worlds. Coupling anonymized communication events from hundreds of millions of people with longitudinal data ranging from financial transactions and movement patterns to regional information about access to health care and socioeconomic status, my collaborators and I are developing machine learning and network analysis algorithms that we hope will provide deeper insight into human societies.
Ultimately, my research agenda is to determine how we can use these insights to actively improve the lives of the billions of people who generate this data and the societies in which they live. Full Bio
