Abstract Details
10/14/2015 | 1:15 PM - 2:00 PM | Atlantic II
Achieving Collaboration, Transferring Domain Expertise to Expert Systems
The Institute for Disease Modeling (IDM) has been focusing on computer modeling and quantitative data analysis of infectious disease, including; Polio, Malaria, Tuberculosis, HIV, Ebola, Typhoid and pneumococcus diseases. IDM's advancements in modeling provide a powerful framework to study both the spread of disease and alternative eradication strategies around the world. Collaboration is essential to achieving disease eradication, and IDM participates in a variety of modeling consortia sharing research models and software for global health purposes.
IDM provides open-source software to the research and public health community for the purpose of eradicating infectious disease. Our software, the Disease Transmission Kernel (DTK), provides a framework that is designed primarily for use by disease modelers, researchers, epidemiologists, and public health professionals seeking to simulate infectious disease conditions and evaluate the effectiveness of eradication or mitigation approaches.
IDM is conducting a trial with our partners in late 2015 to expose the first service-based infectious disease modeling/collaboration system. The COmputational Modeling Platform Service (COMPS) will deliver essential tools used by infectious disease modelers to all of IDM’s global health community partners. These will eliminate the need for each collaborative institute to duplicate and support critical data, algorithms and scientific software.
Our five-year journey taking domain expertise and applying it to expert systems did not come with an inherent roadmap. There were many lessons to be learned while merging the disciplines of research and software development to deliver a solution that promotes community collaboration. This session will focus on the aspects of discovery, iterations, failings, refinements and ultimately the successes in the construction of the infrastructure and software for our COMPS platform.
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Gene Oates (Primary Presenter), Institute for Disease Modeling, goates@intven.com;
Gene Oates is the Senior Software Engineering Manager at the Institute for Disease Modeling (IDM). With over thirty years of experience in the software industry, he has developed products in the telecommunications and network management fields, as well as in the financial and transportation domains. For example, he was a senior developer on the Open Application Interface (OAI), as well as designed and developed the first non-SNA implementation of the NetView Operational Architecture. He contributed to the first ever project that allowed peripheral processors the capability to interact with Cellular Home Switches to detect cellular call progress, cellular phone status and cellular text messages, a key feature that eventually led to the “One Number” telephone service. Gene also contributed heavily to the success of Concur’s SaaS implementation for Expense and Travel Management. As one of the principal engineers, he architected and developed the central control mechanisms for all client access, as well as utilities to migrate thousands of databases for software upgrades, and the architecture required to take an enterprise analytics solution into the “Cloud”. At IDM, Gene utilizes his years of experience leading software development teams of all sizes heading up the software development projects within IDM.
John Sheppard (Co-Presenter), Institute for Disease Modeling, jsheppard@intven.com;
John Sheppard is a member of the IDM software development team and brings over 16 years of experience in software development and engineering excellence. He has worked in biodiversity informatics, bioinformatics, and data analytics, as well as search technology and large scale distributed systems. John is also the co-author of multiple patents related to search and data analytics technologies. With a long history in the field as well as wide interests that span most of computer science, he has been involved in various open source projects, including projects for rules engines, peer mesh networks, and language runtimes.
Within IDM, John leads the development efforts focused on creating the operational infrastructure for IDM’s modeling solvers.
