I am a Human-Computer Interaction and Software Engineering researcher currently employed at IBM's Thomas J Watson Research Center.
My research sits at the intersection of AI, Software Engineering and Human-Computer Interaction. I currently work on understanding how AI developers and teams work, investigating the barriers that they face, and developing solutions and tools to address those needs. Specifically, I am focusing on how to support information and communication needs between stakeholders throughout the life of software projects involving AI or machine learning. Previously, I researched challenges that developers incorporating AI libraries, frameworks and services into their software projects, and on developing novel ways to measure and evaluate conversational systems.
For my Ph.D., my research focused on information foraging theory (IFT) and its applicability to supporting programmers' debugging tasks. Information foraging theory explains and predicts how people seek information and how they make decisions based on the information they found. In this research, I applied IFT to the domain of programmers debugging program code. There were three main research foci: (1) to investigate how programmers look for information during debugging, (2) to develop predictive models of programmers' navigation, and (3) to build tools informed by these models to support developers' navigation needs.
My dissertation topic tied my research together by explaining how IFT can be used to unify various subdisciplines of software engineering research.
I graduated from the University of Arizona in 2008 with a B.S. in Computer Science and a B.S. in Computer Engineering.