Currently an assistant professor with the Department of Computer Science at the University of Memphis; working on research identifying and characterizing the nature and severity of sources of gender bias in automated employee interviews; recently 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; also works on computational methods and tools for improving the accuracy of ground truth representations of human experiences gathered from continuous real-time annotations.
Background
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. Has a diverse background in industry working as a video game and serious game developer and as an R&D engineer on various problems in robotics, computer vision, human-computer interaction systems, and geospatial visualization.
Miscellany
Looking for motivated and hard-working students also interested in using computation to understand human behaviors and experiences in socially impactful contexts.