With funding from the Mellon Foundation, the School of Humanities undertook an innovation graduate training project from 2020-2025: Embedding PhD students whose research engaged in cross-disciplinary conversations and even cross-disciplinary work in research units or teams in other Schools. These GSRs were supervised by a host faculty member in another School and assigned to a specific project related to that faculty member’s lab or other research activities.
The landscape of humanities graduate training has been impacted by broader trends of interdisciplinarity, changing demographics of faculties and student bodies, and new technologies of research, scholarly communication, and learning. These GSR positions provided the opportunity for PhD students to gain experience in collaborative research and in communicating across disciplines, as well as specific knowledge and training that benefited their own dissertation project.
Along with providing valuable skills in collaboration and insights into the graduate student’s dissertation project, the GSR program offered an opportunity for scientists, engineers, clinicians, and others to stretch their own thinking and seriously engage humanities graduate students in their research.

My doctoral work in the Department of English, specializing in rhetoric, has led me down an unexpected but highly productive interdisciplinary path. Thanks to the Cross-Disciplinary GSR program and in collaboration with Prof. Christine King from the Department of Biomedical Engineering, I applied rhetorical theory—particularly its insights into psychological engagement and audience attunement—to design and implement an inclusive, online multiplayer virtual learning environment with proximity-based voice chat. Deployed in a remote biomedical engineering course, this platform translated humanistic principles of communication into a technical pedagogical setting. Building on this work, I conducted an experimental study integrating eye-tracking and neural activity analysis to detect boredom, engagement, and attention span, with the goal of creating adaptive learning systems that respond dynamically to each student’s cognitive state. This convergence of rhetoric, engineering, and cognitive science has expanded my methodological range and deepened my interest in designing immersive environments that optimize learning through real-time human physiological feedback.