Sophie Leroy is an organizational psychologist, professor of management, and dean of the School of Business at the University of Washington Bothell. She earned her PhD from NYU Stern School of Business and is best known for her foundational research on attention residue — the phenomenon she identified and named in her 2009 paper 'Why Is It So Hard to Do My Work?' The research demonstrated that switching between tasks leaves measurable cognitive traces that degrade performance on subsequent work, even when the person is unaware of the impairment. Her experimental paradigm isolated task-switching as the mechanism, controlled for fatigue and motivation, and showed that the effect is robust across task types and populations. Her findings — amplified by Cal Newport and others — have become central to discussions of deep work, knowledge-worker productivity, and workplace design. In 2025, Leroy launched an AI-focused speaker series at UW Bothell, turning her attention to how artificial intelligence reshapes cognitive demands.
Leroy's 2009 paper originated from observational puzzles in workplace psychology: knowledge workers consistently reported difficulty maintaining focus, yet attributions varied wildly across email, meetings, open offices, and personal discipline. Her experimental approach isolated switching itself as the independent variable, measuring performance on Task B as a function of whether participants had switched from an unfinished Task A. The results were unambiguous: switching produced measurable interference that persisted after participants believed they had fully transitioned. The finding was sufficiently novel and counterintuitive that it required replication, which Leroy and collaborators provided across multiple studies with Aaron Schmidt, Nora Madjar, and others.
The research program expanded beyond the original residue finding to examine moderators: regulatory focus (promotion vs. prevention orientation) affects residue magnitude; task completion reduces residue compared to interruption; and clarity of 'ready to resume' plans mitigates some but not all of the effect. Across all extensions, the core finding held: residue is a fundamental feature of cognitive architecture, not a skill deficit that training can eliminate. Leroy's consistent methodological stance has been that individual-level interventions (mindfulness, focus training) are less effective than structural interventions redesigning workflows to minimize unnecessary switching.
Leroy's 2025 turn toward AI is both a continuation and an escalation of her lifelong research focus. The escalation is that AI tools, by enabling multi-project oversight at unprecedented scale, have created work environments that maximize the residue-generating conditions her experiments documented. The continuation is that her framework — developed in the conventional office of the 2000s — predicts with uncomfortable precision what practitioners report from the AI-augmented workplace of 2026: intensification, exhaustion, the sensation of 'always juggling,' and the invisible degradation of judgment quality that productivity metrics cannot capture. Her speaker series represents the scholar returning to the phenomenon she named at the moment when the phenomenon has reached its most consequential expression.
Born in France, trained in the United States, Leroy represents a disciplinary bridge between European philosophical traditions of work critique and American empirical organizational psychology. Her work combines the rigor of controlled experimentation with attention to lived experience — a combination that has made her findings accessible to both academic researchers and organizational practitioners. The attention residue concept has been cited over 1,000 times in the academic literature and has influenced organizational redesigns, productivity methodologies, and the discourse around sustainable knowledge work in the digital age.
Attention residue discoverer. Leroy's 2009 paper provided the first experimental demonstration that task-switching leaves measurable cognitive traces degrading subsequent performance — a finding now central to workplace design discourse.
Structural interventions advocate. Across her research program, Leroy has consistently argued that residue cannot be eliminated through individual training and must be addressed through workflow redesign.
Robust replication. Her findings have been confirmed across multiple studies, task types, and populations, establishing attention residue as a fundamental constraint rather than a context-dependent variable.
AI-era relevance. Leroy's 2025 turn toward AI represents the scholar confronting the technological moment when her framework's predictions — developed for conventional office work — are being tested at unprecedented scale and intensity.