Modeling Historical Dynasties as Emergent, Dissipative Mechanisms

WORK EXPERIENCE: Lecturer, Digital History, Intellectual Property and Product Development, San Francisco State University. Past teaching work at U of New Hampshire, Monash University (Australia), Swinburne University of Technology (Australia), International Space University (France) and Singularity University. Industry experience at NASA, Genentech, Applied Biosystems, Intuit and the Kessler Group (J.P. Morgan Chase). EDUCATION: B.A. Economics, U of Wisconsin-Madison. B.A. Physics (w/concentration in Astronomy) & MBA, San Francisco State University, J.D., U of New Hampshire, Grad. Cert. Space Sciences, U. of S. Australia. RECENT AWARDS: Astrosat Huntsville Prize (2017), European Space Agency Most Innovative Business Idea (2017). RESEARCH: Current: (1) Physical and quantitative history, with a focus on expressing historical processes in terms of thermodynamics. Case studies include the rise and fall of Spain's colonial empire, Colorado's San Juan mining region historical progression, and modeling dynasties as irreversible, dissipative mechanisms. Part of this research is informed by studying energy flows through ecological networks and evolutionary processes, hence the following.(2) Evolution and recurrent selection in plant species in microgravity environments as well as development of highly-compact plant growth hardware and imaging systems. Past: multi-level atmospheric models for exoplanets and brown dwarfs (assisted Dr. Mark Marley of the NASA Ames Research Center with model generation using FORTRAN programs to exam their consistency with Spitzer Space Telescope data). MEMBERSHIPS: World History Association, American Historical Association, Social Science History Association, International Society for the Advancement of Emergy Research (a/k/a Emergy Society).