Our program offers an opportunity to work with diverse faculty, develop and apply theory and qualitative, quantitative & mixed research skills and communicate in clear and accessible written, oral and visual forms with and for multiple audiences to affect positive social change.
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.
In the context of global challenges, I work in the area on communication and information for agricultural innovation and community economic development. I lead the Regional and Rural Broadband (R2B2) project.
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.
