Welcome! I am an assistant professor working with the Department of Computer Science at the University of Memphis. My research interests span topics in machine learning, signal processing, algorithmic bias/fairness, and data collection and annotations methods, especially as they pertain to human behavior and experience modeling. I have a diverse background in industry working as a video game and serious game developer and as a R&D engineer on various problems in robotics, computer vision, human-computer interaction systems, and geospatial visualization.
I am currently working on some exciting research identifying and characterizing the nature and severity of sources of gender bias in automated employee interviews, to address growing concerns regarding implicit machine learning bias. Recently, I worked on the IARPA-funded TILES research project, which aimed to find connections between physiologic, environmental, and contextual factors, and self-reports of mental states produced daily by professionals in and outside of the workplace. I also work on computational methods and tools for improving the accuracy of ground truth representations of human experiences gathered from continuous real-time annotations (with an approachable blog-style introduction to the benefits of rankings).
Prospective and current PhD students:
I am looking for motivated and hard-working students also interested in using computation to understand human behaviors and experiences in socially impactful contexts. If you are interested in joining the team, please drop me a note!