Tracing AI Handwriting Breakdowns Across the System
Mapped handwriting issues to model, sensor, protocol, or interaction layers.
Turned ambiguous failures into routed QA criteria.
Mapped handwriting issues to model, sensor, protocol, or interaction layers.
Turned ambiguous failures into routed QA criteria.
Mapped live slide-access gaps for Blind and low-vision participants.
Defined live-access criteria for slide delivery.
Built a verified Deaf and Hard-of-Hearing recruitment and access workflow.
Converted access logistics into a reusable study workflow.
Contributed to large-scale Reality Labs studies on handwriting and gesture models designed to generalize across people.
Opens in a new tab.Analyzed 1,000+ social videos for NSF-funded research identifying recurring access barriers across digital video platforms.
Opens in a new tab.Coach and develop a Braven Fellow cohort through UNIV 301, leading weekly learning labs and individualized feedback.
Opens in a new tab.Lead workshops and 1:1 mentorship for NIU psychology students through career planning and early-career decisions.
I’m a researcher and strategist with a background in psychology, HCI, accessibility, and human-AI interaction. I thrive in complex, multidisciplinary environments where teams are still making sense of the problem: a workflow breaking across handoffs, a model behaving unpredictably, an access barrier built into a system, or a question that needs clearer evidence before teams can move with confidence.
I use mixed-methods research to turn ambiguity into strategy, mapping how people interact with systems, identifying where experiences break down, and translating findings into decisions teams can act on. My work connects research, product strategy, accessibility, and systems-level thinking.
My background in ASL and Deaf Studies shaped how I think about access: not as accommodation, but as infrastructure. The best systems are designed so people can understand them, trust them, and use them without carrying the burden of the system’s gaps.
Systems work better when disabled people shape them from the start. Accessibility is infrastructure for systems people can understand, trust, and use.
Benchmarks show what a model can do. Research shows whether people can understand it, recover from failure, and trust it in use.
When interfaces, workflows, and handoffs fail to connect, people are left to fill the gaps. Accessibility depends on the whole system supporting it.
Open to collaborations and conversations around complex systems, accessibility, and human-AI interaction.
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