Research and training at Weill Cornell Medicine in health informatics, aging, and human-centered technology.
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.
RESEARCH PROFILE
Building and studying digital-health systems within federally funded aging and cognition research.
Leading a secondary analysis of individual differences in usability and technology experience.
Co-leading a scoping review of caregiver-facing AI for advocacy, navigation, and care coordination.
RESEARCH INTERESTS
Human questions, technical systems.
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.
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?
Usability, Aging & Individual Differences
How do age, prior technology experience, readiness, and other individual differences shape learnability, usability, satisfaction, and real-world technology experience?
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
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.
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.
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.
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.
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.
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.
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.
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.
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.