Graduate Student, Computer Science. Research Focus: Human-Computer InteractionThesis Title: Effect of Semantic and Correspondence Highlighting on Novice Programmer PerformanceDetails:Empirical examination of the effect of highlighting on novice programmer code comprehension and task performance in the ALVIS Live! novice programming environmentALVIS allows users to create and modify code through both graphical direct-manipulation and standard textual interfaces. Essential question: Does correspondence highlighting increase code comprehension by making explicit to the user the connections between the text and graphical interfaces

Teaching Assistant for Problems in Computer Science (CptS 121) and Introduction to Algorithms (CptS 111).Details:Taught lab section of Computer Science 121: Program Design and Development to undergraduate students.Worked with advisor to develop new introductory course, Computer Science 111: Introduction to Algorithmic Problem Solving. Assisted in developing curriculum and lab teaching techniques that successfully introduced novice computer science students with no previous programming experience to programming constructs and algorithms. Taught 3 lab sections of Computer Science 111 to undergraduate students.

Facilitated expert reviews, cognitive walkthroughs, and usability tests for Google Adwords interface features. Recommendations were subsequently included in launched products.Conducted qualitative analysis of advertiser interview data. Synthesized this information into a report that provided Google researchers with a blueprint for addressing the needs and concerns of its advertising customers.