Worked on the SWoRD project, focusing on automatically identifying localization and solution in peer reviews, predicting peer rating validity, identifying argument components and argumentative relations in student essays, and automated argumentative essay scoring.
Education
PhD student in Computer Science at the University of Pittsburgh, advised by Professor Diane J. Litman. Gained research experience on parallel genetic algorithms and applications in scientific computing during undergraduate studies.
Background
Research interests include Natural Language Processing, Machine Learning, and Data Mining with an emphasis on educational data. As a member of the SWoRD project, his current research focuses on building intelligent components for automatically evaluating student writings and feedback.