Interests - Probabilistic/Statistical Inference using the Bayesianist Paradigm with Maximum Likelihood Methods to deal with uncertainty, risk, possibility, necessity, actuality, and general estimation. However, I typically perform strict Multidisciplinary Research vis-à-vis**. I seek to apply deterministic models to understand reality; research involved consists of scripting advanced schematics and blueprints of theoretical machine programs which are Turing complete; reflecting the perfect synthesis of information. My magna opus consists of a computational event phenomena machine analyzer to create procedurally optimal futures analysis, it exploits time based methods to generate forecasts.Prospect FINRA Series 86/87 candidate. Current Mutual Fund Owner & Manager of Private Logistics for Securities (PL4S). We issue carefully structured Alternative Unit Investment Trusts & Face-Amount Certificates to guarantee investor satisfaction +ownership. The primary contracts traded are Volatility Futures Stock-Index derivatives.***(Theory of Computation, Algorithm Design, Cybernetics, Abstract Machines, Black Box Programming, Monte Carlo Simulation, Statistical +Unsupervised Learning, Poisson Stochastics, Causal Mechanics, Binary Time-Frequency Analysis, Renewal +Surprisal Theory, Rate Functions and Information Entropy Analysis)