Mat received a PhD in Physics from UC Berkeley where he studied the neural correlations of short-term memory in prefrontal cortex. During that time, he picked up Python, machine learning, and a love for education. He’s been at Udacity for over two years, developing content for various data science courses including the Deep Learning Nanodegree program. Mat is also the author of Sampyl, a Python library for Bayesian data analysis, and SeekWell, a library that improves the usage of SQL within Python.
