I am a computer scientist, renowned for my work in my company in machine learning, neural networks, AI, cognitive science and object recognition. Having spent 15 years analyzing and modeling data to predict photoresist patterning. Prior to that, I performed computational modeling of polymer nanocomposites at the University. I have spent my career transforming technical knowledge into relatable solutions and look forward to sharing that wisdom to empower a new generation of learners.

I am passionate about machine learning, data science, and the practical beauty of the Python and R programming language. In my career, I have a strong history of developing computational solutions to open-ended problems using techniques including Markov-Chain Monte Carlo simulation, neural networks, clustering analysis, and various other facets of Machine Learning. The power behind all of this was my faculty with Python. Python is the language of the modern engineer. I am excited to show both students and adult learners the simple elegance of the language and how it is an indispensable tool for the creative application of science to real-life problems