Bryan's academic research skills combined with his years as a systems administrator give him unique insights into the full technology stack, from back end systems through data analysis and research, to front end interaction and display. He has recent industry experience as a data scientist here in NY, working on NLP related projects. He recently received his Computer Sciences PhD at the University of Wisconsin-Madison under Professor Jerry Zhu with the thesis titled "Using Machine Learning to Understand and Influence Human Categorization Behavior". His primary area of interest is machine learning, specifically the improvement of machine learning models through the study of human learners (and vice versa). This includes cognitive modeling, perception and human-computer cooperation.
In this part-time course, students learn to build robust predictive models, test their validity, and clearly communicate resulting insights.