University at Buffalo professor Xi Lu selected for 2026–27 CRA Trustworthy AI Research Fellowship
University at Buffalo assistant professor Xi Lu has been selected for the 2026–27 CRA Trustworthy AI Research Fellowship, a Microsoft-funded program for early-career computing researchers.
Lu is one of eight AI Research Fellows identified in the University at Buffalo’s July 23 announcement. She is an assistant professor of information science in UB’s Graduate School of Education.
Research focus
Lu’s stated goal is to design artificial-intelligence systems that better serve underserved communities. The fellowship supports research intended to improve AI health systems while incorporating perspectives from computing, ethics, policy and the social sciences into systems serving those populations.
The focus is on how AI systems are designed and used, including whose needs are considered in their development. The announcement connects Lu’s work to trustworthy AI, rather than describing AI performance as the sole measure of a system’s value.
For UB, the selection places a Buffalo-based faculty member in a national fellowship cohort focused on AI research. It also links her work on systems for underserved communities with a program backed by Microsoft.
Program support and timeline
The Computing Research Association fellowship is intended to support researchers early in their computing careers. Microsoft funds the program, according to the university’s announcement.
The confirmed fellowship period is 2026–27. UB announced Lu’s selection on July 23, 2026, and identified her as one of the eight fellows in the cohort.
The fellowship selection is a research-support milestone. It should not be read as evidence that a particular AI health system has already been completed, tested in clinical practice or deployed for public use.
What remains unspecified
The available announcement does not provide a fellowship dollar amount, a detailed project plan or a schedule of research milestones. It also does not identify a specific health-care deployment or report measured outcomes for patients, health systems or communities.
Those limits are important in assessing the announcement. The verified development is Lu’s selection for a future fellowship year and the broad purpose of the supported work. Any later claims about real-world performance, health effects or implementation would require evidence beyond the announcement.
The next known step is the 2026–27 fellowship period. No additional public deadline or project timetable was specified in the material provided by UB.
Sources
- Xi Lu selected as AI Research Fellow by Computing Research Association, University at Buffalo
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