Experience
Education
Bio
My research interests are in large-scale data mining, graph mining, and machine learning, with specific focus on event and anomalous pattern detection and forecasting in complex and heterogeneous network data. Examples of applications include disease outbreak detection using public health data, such as hospital visits and medication sales; detection and prediction of cyber attacks (e.g., spammers, fake users, and compromised normal users) using from social networks and financial data, discovery of anomalous or novel patterns from knowledge graph data, and crowdsourcing human mobility and social media data to detect traffic congestion, air pollution, and power leakage.