Mike is a 5th year PhD candidate in the Chemical Engineering Department focused on developing tools for enhanced characterization of the brain microenvironment. His approach leverages fluorescent microscopy to track the movement of hundreds to thousands of nanoparticles simultaneously. The methodology results in significant amounts of trajectory feature data which can be used to gain insight on various properties of the brain microenvironment. The application of data science has allowed him to get more out of the data then ever expected, and he’s excited to see where it takes this project in the future!
