Matthew Aguirre’s research focuses on developing statistical methods for analyzing high dimensional time series.
Currently in collaboration with University of Michigan Transportation Research Institute, he is working on developing an algorithm capable of detecting distractions while driving. This will potentially have impacts on techniques involving feature selection, pattern recognition, and machine learning.
Academic Advisor: Judy Jin
Expected Graduation: 2020
Position Sought: Academic