Eddie Shangguan

Eddie Shangguan 25' is a Computer Science and Mathematics double major from Beijing, China & Vancouver, Canada. He is interested in how archaeology, radiology, and computational science intersect by studying ancient populations. He aims to use image processing and AI techniques to assess diseases in mummies, thereby enhancing the understanding of the disease's progression over time and identifying patterns and trends that provide context for today's health issues. Eddie is concurrently involved in projects that deal with brain MRI images and tissue segmentation, leveraging deep learning algorithms to train models to recognize and classify tissue types with high accuracy, which could ultimately lead to improved diagnostic and treatment planning for patients with AGS and other neurological conditions. In his spare time, Eddie enjoys traveling, reading, hiking, and hanging out with friends. He is an active member of Vanderbilt Alternative Spring Break (ASB), VandyHacks, and Vanderbilt Data Science Club on campus.