Realisation of abstraction, as illustrated in my innovations and criticial thinking where disparate pieces of data are brought together to create thoughtful and well-informed analytical goals. As an academic, my penchant for creating literature surveys before beginning to think on a problem is my true strength.
Christopher Tucker's Problem Solving Skills:
Poisson and Hurdle modeling
Christopher Tucker's Problem Solving Experience:
I patented a design for autonomous artificial entities.
I have worked many years performing statistic and stochastic analysis.
Research and programming (C#, Python) in neural networks (back-propagation, convoluted, belief, recurrent), stochastic and statistical techniques such as linear regression, negative binomial, zero-inflated Poisson and Hurdle models to identify unexpected behaviours, as these are normally unaccounted for in normal risk-assessment scenarios. Computational analysis performed in Stata software.
I described the proper mathematical foundations for micro-sized wireless power implementations for RFID/NFC. This included a fully-described method of analysis. Published in January 2017, IET, Circuits, Devices, and Systems.