Bio

I currently work as AI Research Scientist, Tech Lead at Dataminr, inc., focusing R&D on data mining, machine learning and natural language processing for real-time events discovery and summarization, from public available data sources (tweets, articles, sensor data, etc.). Previously, I work as a Senior Member of Technical Staff at AT&T Labs Research, with R&D focusing on spatial-temporal data mining, applied machine learning and deep learning on large-scale spatially distributed networking data, to automate dynamic resource management and heterogeneous 4G/5G network planning. Along with 1-year R&D internship experiences at NEC Labs America, TuSimple, and MSKCC in predictive modeling, text mining and anomaly detection, I received my PhD in School of Computing and Information at University of Pittsburgh, with background in data mining, machine learning, network science and statistics. My PhD thesis focuses on large-scale geo-social network data mining to model spatial, social and temporal aspects of user mobility behaviors in physical world and its applications to local economy. I am passionate on learning insights from various structured/unstructured dataset, communicating findings to scientists, engineers and non-experts via publications/presentations/demos, as well as delivering data-driven software/products to drive intelligent and automated businesses/services.