Data Scientist at AT&T Labs, working on streaming spatial-temporal network data analysis and predictive modeling, to facilitate dynamic resource allocation and optimization. Previous R&D internship experiences in predictive modeling, text mining and anomaly detection. Received PhD in Information Sciences at University of Pittsburgh, with solid background in data mining, machine learning, network science and statistics. Rich research experience in large-scale geo-social media/network data mining and its applications in urban computing and local economy. Passionate on extracting insights from various structured/unstructured dataset, and communicating findings to scientists, engineers and no...