Interested in performing principally security data analyses and quantitative risk assessments to inform executive decisions. I have been providing analyses, architecting secure environments, and leading security program implementations in IT security and risk since 2011. My career started with solving problems and informing executive decision making with algebraic data analyses for explanation, simulation and attribution (i.e. data driven intelligence analysis, forensics, SOC and CIRT), and optimization (i.e. Monte Carlo simulation for risk assessment). My problem-solving toolset has expanded to more descriptive and predictive methods (i.e. machine learning/AI for risk assessment, vulnerability prioritization, and event correlation). I am now developing my capabilities to integrate each of those analytical areas and to expand beyond algebraic methods and static probability calculus into using Bayesian network models. I hold a Master of Science in cybersecurity intelligence and forensics, a CISSP, and undergraduate degrees in science and philosophy. My work has been sponsored by RSA and EMC, a federal defense financial institution, Dell SecureWorks, Bloomberg L.P, NYU, and now Hive Systems.