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One-liner: Scientist turned cleantech entrepreneur (retired).
Multi-liner: Started out trying to be a mathematical biophysicist (stop laughing), wound up determining the structural implications of NMR data on biological macromolecules via "distance geometry", then modeling and analyzing data demonstrating the principles of quantum information processing via solution-state NMR spectroscopy. The mathematical connection between the two was the geometric (Clifford) algebras that are canonically associated with every metric vector (affine, and conformal) space, and the associated coordinate-rings of invariants, the later which I learned about from some of Gian-Carlo Rota's students.
Turned 50 without a permanent academic position and thought the world might yet respond sensibly to the now-near-term threats of climate change, so went to the MIT Sloan School of management to learn how to launch a clean-tech venture. Came up with the idea of using the adsorption of compressed air in zeolite minerals to store energy in a very safe, clean and possibly even cheap fashion, and spent the next decade trying to get someone with money interested in the approach, to no avail. Current interests are in kernel methods in machine learning (and beyond), dynamical systems models of cognition, and category theoretic approaches to the two (all of which can be pursued with little or no money down).