RESEARCH

Questions worth building around.

My research sits where AI, health information, human behavior, and real systems meet. I am most interested in problems where technical capability alone is not enough — the system also has to be understandable, trustworthy, useful, and workable outside the lab.

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RESEARCH PROFILE

WCMresearch home

Research and training at Weill Cornell Medicine in health informatics, aging, and human-centered technology.

NIH / NIAfield research

Building and studying digital-health systems within federally funded aging and cognition research.

FIRST-AUTHORPRISM analysis

Leading a secondary analysis of individual differences in usability and technology experience.

CO-LEADcaregiver AI

Co-leading a scoping review of caregiver-facing AI for advocacy, navigation, and care coordination.

RESEARCH INTERESTS

Human questions, technical systems.

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Human-Centered AI for Health

How should AI support patients and family caregivers when health information is complex, uncertain, personal, and consequential? I am interested in systems that improve understanding and action without stripping away context or human judgment.

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Patients, Caregivers & Care Coordination

How can technology support the work people do outside the clinic — finding information, navigating services, communicating with providers, following through, and advocating for care?

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Usability, Aging & Individual Differences

How do age, prior technology experience, readiness, and other individual differences shape learnability, usability, satisfaction, and real-world technology experience?

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Digital Health Systems in the Field

What changes when a research prototype becomes a real system used on real devices, by real participants, under operational, accessibility, privacy, and data-quality constraints?

Current work

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Caregiver-Facing AI

AI · CARE COORDINATION · EVIDENCE

Co-leading a scoping review of where caregiver-facing AI has moved beyond information delivery toward advocacy, navigation, follow-through, and real-world care coordination.

Principal Investigator (PI)Sara J. Czaja, PhD · Walter R. Boot, PhD
CollaboratorBrian Wang, PhD
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PRISM Usability & Technology Experience

HCI · AGING · SECONDARY ANALYSIS

Leading a first-author secondary analysis of how age, education, mobile-device proficiency, and technology readiness shape learnability, memorability, satisfaction, and feature-level experience.

Principal Investigator (PI)Sara J. Czaja, PhD · Walter R. Boot, PhD
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SPARC

NIH / NIA · DIGITAL HEALTH · COGNITIVE AGING

Leading end-to-end technical implementation of a field-ready tablet intervention for older adults with mild cognitive impairment and other cognitive challenges.

Principal Investigator (PI)Sara J. Czaja, PhD · Walter R. Boot, PhD
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PAAC

COMMUNITY TECHNOLOGY · AGING · FIELD DEPLOYMENT

Leading design, development, deployment, and ongoing operation of a tablet-based community technology platform for older adults in Northeastern Pennsylvania.

Principal Investigator (PI)Sara J. Czaja, PhD · Walter R. Boot, PhD

IN PROGRESS

Also in progress

Additional research is underway but not yet ready for public detail. I’ll add each project as it reaches a stage where I can share it.

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Projects in development

Quiet for now.
More when the work is ready.

Details will be added as each project becomes public.

MIAMI / EARLIER RESEARCH

Past work

Earlier research and research-engineering work at the University of Miami shaped how I think about field deployment, measurement, data quality, and designing technology around real users.

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2015 — 2017

University of Miami Miller School of Medicine · Center on Aging

PRISM 2.0

Full Stack Software Engineer · technical implementation

Built and maintained the bilingual tablet and backend infrastructure used in PRISM 2.0, a multi-site aging-technology research program focused on social connection, information access, memory, and technology engagement.

Principal Investigator (PI)Sara J. Czaja, PhD · Walter R. Boot, PhD
02

2015

University of Miami · Department of Psychology

Lens on Science

Research Assistant · research data and assessment workflows

Supported early-childhood research and technology-enabled assessment workflows around Lens on Science, a computer-adaptive assessment of preschool science knowledge and process skills.

Principal Investigator (PI)Daryl B. Greenfield, PhD
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2015

University of Miami · Department of Psychology

RISE / early-childhood research

Research Assistant · data processing and classroom research support

Supported early-childhood development and school-readiness research, including RISE and related Florida VPK work, through classroom coding and automated research data workflows.

Principal Investigator (PI)Daryl B. Greenfield, PhD