Cliff Joslyn

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Interdisciplinary Information Systems Scientist

Chief Knowledge Scientist, Pacific Northwest National Laboratory (PNNL)

Visiting Professor of Systems Science, Binghamton University (SUNY)

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CJ1 with Lisa edits

Mathematical modeling and computational methods for analyzing complex information systems: relational and knowledge-based information systems, semantic technology, uncertainty quantification, and high performance computing.

My research aims to explore and understand classes of mathematical, formal, and conceptual models of complex information systems; how they can be interrelated, translated, and integrated; and how they can be deployed in interdisciplinary data science applications.

My work models information systems using methods drawing from multiple mathematical fields, including computational topology, order and lattice theory, hypergraph analytics, generalized information theory and non-standard probability, multi-relational data modeling, and probabilistic graphical models. To these formal approaches I bring a perspective on semantic information theory and computational semiotics, in the context of the cybernetic philosophy of modeling and evolutionary systems. Thus my work is generally strongly engaged with semantic technology, formal ontologies, and the engineering of supportive software technologies.

I have led and supported computer and information science research efforts for the US Government for almost 30 years, and am a Senior Member of the Association for Computing Machinery (ACM). My work spans from the most current approaches in mathematical modeling and AI to pioneering web efforts from the dawn of the Internet age. My background is from the interdisciplinary intellectual tradition of general systems theory and cybernetics, and what might broadly be called mathematical systems theory; and I am also an Adjunct Professor of Systems Science in that program at Portland State University. Over a career at PNNL, the Los Alamos National Laboratory, NASA’s Goddard Space Flight Center, academia, and the software industry since the beginning of the PC era, my research has been applied at multiple US Government agencies in fields ranging from computational biology to cyber analytics, blockchain technology, reliability analysis, and high performance computing.

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