Eun Chang is a lifelong learner, an avid consumer of new technologies, and a data scientist at Microsoft specializing in machine learning. In her career at Microsoft, Eun has driven a number of projects focusing on Windows post sales monetization and enterprise device usage. Her research uses a broad spectrum of techniques ranging from statistical inference to deep learning. Eun is thrilled when a seemingly simple problem results in a novel, mathematically intricate solution. Her current work involves incorporating neural networks into areas such as feedback classification and community detection. Contact Eun via email or on LinkedIn.