Charles Frye

I am working towards a PhD at the intersection of machine learning and neuroscience: how can new learning algorithms help us understand the brain better, and how can understanding the brain better help us create new learning algorithms? I am most comfortable with “big data” techniques like neural networks, support vector machines, and random forests, but also have experience with classic statistical methods, including ANOVAs/GLMs and Bayesian models. I can also answer questions about programming in Python, and have some experience with MATLAB and R.