The early-career grant will enable Lucas Caretta to broaden the accessible materials palette for next-generation spintronic devices and enable new experimental approaches to controlling spin transport in a growing field that has a thirst for new materials approaches.
The RE-PLASTIC program (Repurposing of Expended Print-plastic for Sustainability in the Technology and Innovation Community) in the Brown Design Workshop proposes an innovative solution to the problem of 3D print waste.
As large language models play an increasing role in public discourse, a new study led by Brown researchers raises important ethical questions about the potential ways AI tools can be adapted by users.
Each summer, thousands of high school students study on campus and around the globe in Brown’s Pre-College Programs, which offer intensive academics, cultural immersion, research experiences and more.
The Raimondo Research Lab focuses on chemically modifying RNA and designing nanoparticles for therapeutic delivery to the body, an immunotherapy concept that holds immense promise in the field of immunoengineering.
As one of the few Brown University faculty with a Ph.D. focused on the design of complex systems, the newest professor of the practice in the School of Engineering is uniquely qualified to launch a new course in the undergraduate curriculum.
The accomplished technology innovator will steer the program’s curriculum and faculty to prepare professionals with the skills necessary to lead in today's complex technological landscape.
Jonghwan Lee is Assistant Professor of School of Engineering and Carney Institute for Brain Science at Brown University. He leads a research group (leelab.ai) at the intersection of medical photonics, neural engineering, and artificial intelligence. The Carney Institute recently sat down with Professor Lee for a Q&A.
With a dual appointment in engineering and computer science, Associate Professor Nora Ayanian looks at solutions for end-to-end multi-robot coordination – that is, making a team of robots work without roboticists on hand to monitor their progress.