My research interests include bullying and cyberbullying, policing, and victimization. I am particularly interested in the ways in which the peer, family, and school contexts influence adolescents' involvement in cyberbullying, and how groups of adults collaborate to prevent and respond to cyberbullying.
Physical processes and human activities change the landscape and increasingly these factors work in tandem on the Earth’s surface; these interactions are what inspire and drive my research.
I employ a quantitative approach to integrate observational, experimental and synthetic data sets, gathered by myself and others, to study this interaction of dispersal and environmental processes...
The goal of my research is to improve the life of cancer patients by identifying tools to make better treatment decisions. This can possibly improve several important aspects of the life of a cancer patient, including treatment response, the quality of life, and the overall survival following treatment.
My research is designed to better understand the relative risks that environmental stressors may pose to the biota of aquatic and terrestrial ecosystems with the goal of improving scientific and public understanding of those risks.
Statistical natural language processing has been actively studied in the field of Artificial Intelligence. My research is mainly focused on applying machine learning methods in Information Retrieval, Text Categorization, Sentiment Analysis, Text Segmentation, Text Summarization, Privacy Policy Analysis, and Text Mining.