Associate Professor of Statistics
Ethan’s research focuses on creating methods for analyzing high-dimensional neural signals in order to understand the neural processing that underlies object recognition, working memory, and other cognitive processes. His teaching interests span a range of topics, including statistics, machine learning, data science, and computational neuroscience.
In this class we will introduce the central concepts in Statistics by running and analyzing data from Cognitive Science experiments. Statistics topics covered in the class include summary statistics, graphical methods, and resampling and parametric inference methods for calculating confidence intervals and conducting hypothesis tests. Students will learn how to use the R programming language to explore statistical concepts and to analyze real data. Assignments will consist of weekly problem sets and a final class project. By the end of the class students will be able to understand the concepts that underlie statistical analyses and will be able to apply statistical methods to data collected from a variety of fields.
Machine learning is a subfield of artificial intelligence that aims to give computers the ability to make predictions and find relationships in data. The methods used in machine learning blend statistical concepts with ideas from computer science, and are widely used by data scientists to analyze complex datasets, and by artificial intelligence researchers to make intelligent systems. In this class, we will cover the basic concepts in machine learning including regression, supervised learning (classification), unsupervised learning (clustering and dimensionality reduction), cross-validation methods, and model selection. We will use the R and Python programming languages to explore the usefulness of different methods and to analyze real data. The class work will consist of weekly programming problems and a midterm and final project. Prerequisites: prior experience with programming and Statistics. Prerequisite: Prior experience with programming and statistics, either through a class or from other experiences.