My research aims to bridge data and lived experience through visualization. I study how cognitively accessible, human-centered design can democratize data access and transform the way people understand, connect with, and act on information.

Visualization x Data Accessibility

Data is everywhere, but not always accessible to everyone. Visualization aims to improve access, yet often assumes a standard user with advanced cognitive skills, excluding many. Originating from a collaboration in 2018 with the State of the States in IDD, we work with individuals with intellectual and developmental disabilities—such as Down syndrome, autism, and cerebral palsy—to design more inclusive visualizations. Grounded in their lived experiences, our work helped establish the subfield of Cognitively Accessible Visualization, and continues to reimagine how data can be made cognitively inclusive, meaningful, and just for all.

Visualization x Extended Reality

Traditional data visualizations often remain flat and abstract, removed from the bodies, spaces, and emotions that shape how we experience information. Extended Reality (XR) offers new possibilities for making data more immersive, embodied, and situated. Our work explores how XR can enrich personal and collective engagement with data, whether in the field, in everyday life, or in deeply reflective contexts. By reimagining how data is felt, explored, and understood, we aim to expand what visualization can be in multi-modal, multi-sensory ways.

Visualization x Mental Health

Data goes beyond numbers, and visualization can support more than just analysis. Our work explores how visualization might foster self-understanding, metacognition, and emotional reflection, especially in the context of mental health. We’re particularly interested in how affective experiences shape and are shaped by data, and how visualization can support not only insight but also care, connection, and personal meaning-making. Through collaborations with practitioners and individuals, we reimagine visualization as a more emotionally attuned and human-centered practice.

Visualization x Artificial Intelligence

Visualization and AI increasingly shape one another: AI can power adaptive, efficient, and personalized visualizations, while visualization makes AI systems more interpretable, transparent, and human-centered. Our work explores these intersections, how machine learning can enhance visual design, how visualization can support AI literacy, and how visual tools can surface the social and ethical dimensions of data and AI practices. Through human-centered visual design, we aim to advance more inclusive, responsible, and value-driven uses of AI.