His research areas can be divided into three logical sections under this overarching theme: (1) data-driven medicine—applications of informatics .. Read more techniques, including machine learning methods in medicine on solving big data problems; (2) mining the Internet, including the social web, to provide insights into health-related behavior and health outcomes of various populations and finding ways to develop interventions that promote public and consumer health; and (3) development of novel informatics methods, tools and systems to support clinical and clinical research activities such as tools for data integration, clinical trial generalizability assessment, and cohort discovery. His research is funded by the National Institute of Aging, National Cancer Institute, Patient-Centered Outcomes Research Institute, and National Science Foundation. Particularly, he's interested in studying how the network structure influences the evolution of dynamical processes, like synchronization of coupled oscillators or the spreading of disease in social networks. SIMBig 2020 will award the 3 best papers of the conference. Also, papers facing the crisis generated by COVID-19 will be awarded.
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