This document describes an unsupervised approach to discover and disambiguate social media profiles of Old Dominion University (ODU) computer science students. It generates usernames from student information and polls social media sites to find profiles. Profiles are assigned points based on name and location matches. Link and email analysis further validates profiles. When tested on 20 students, it achieved a precision of 0.863, recall of 0.526, and f-measure of 0.632, comparable to human-level performance. Future work includes facial recognition, improved link analysis, and evaluating social media as a digital preservation strategy for students.