September 7, 2015



GMW is a physicist and software developer interested in functional programming, quantum mechanics, statistical mechanics, tensor networks, topology, artificial intelligence, mean field game theory, musical set theory, and symmetry. He has a B.S. in chemistry from UCLA, a Ph.D. in chemical physics from the University of Washington, Seattle, and a postdoctoral fellowship in magnetic resonance from UCSF.  GMW has been developing software for over 25 years with applications in the physical sciences, bioinformatics, diagnostics, music composition, and video games.

Using techniques in artificial intellegence, GMW builds human-like intelligent model systems that simulate actual reality, and uses the properties of quantum mechanics to describe systems and dynamics of multi-variable problems. Some applications involve predicting the flow of liquids, modeling of micro-structure, pattern recognition, solving PDEs associated with mean field game theory, model systems for classification, and creating applications for iOS.  Other applications involve using combinations of mathematical techniques coupled with musical set theory, including cyclic sets, to produce both tonal and atonal structured compositions.

GMW’s computing environment consists of a powerful multi-core Xeon server running Linux and a MacBook Pro.  Editing, compiling, and testing is done in Emacs, and his favorite programming languages are Lisp (including Clojure), Scheme, Haskell, Lua, OCaml, C, Objective-C, JavaScript, Perl, and Python.

GMW is associated with the following organizations: