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Dr. John D. Siirola is a Principal R&D Member of Technical Staff in the Discrete Math and Optimization Department within the Center for Computing Research at Sandia National Laboratories. His main areas of expertise are systems design, operations research, optimization modeling, and optimization algorithms. John’s research focuses on the intersection of computational tools with systems design and analysis; in particular, developing approaches for modeling highly structured systems, and optimization algorithms that can exploit the expressed structure.
Much of John’s research is disseminated through open-source software projects. He is the Sandia PI for the Institute for the Design of Advanced Energy Systems (process modeling, design, and optimization) and serves on the Pyomo Management Committee (optimization modeling). Previously he led the Acro project (optimization algorithms) and contributed to the Water Security Toolkit (modeling and analysis tools for drinking water distribution systems), Dakota (optimization and uncertainty quantification), Utilib, PyUtilib, gcovr, and cxxtest.
John has a B.S. from Purdue University (2000) and Ph.D. from Carnegie Mellon University (2005), both in Chemical Engineering. He is a senior member of the AIChE, member of INFORMS, and member of the COIN-OR Foundation. John currently serves on the COIN-OR Technical Leadership Council and co-chaired the 2014 Foundations of Computer Aided Process Design (FOCAPD) conference.
A strong science, technology, and engineering foundation enables Sandia's mission through a capable research staff working at the forefront of innovation, collaborative research with universities and companies, and discretionary research projects with significant potential impact. Sandia is committed to hiring the nation’s best and brightest, equipping them with world class tools and facilities while providing opportunities to collaborate with technical experts from many different scientific disciplines. To ensure our fundamental science and engineering core is vibrant and cutting edge, Sandia has chosen to invest in the following research foundations: Bioscience, Computing and Information Science, Engineering Science, Geoscience, Materials Science, Nanodevices and Microsystems, Radiation Effects and High Energy Density Science. These diverse research areas enable a multidisciplinary approach to resolve emerging national security problems.