Through work on their personal projects, the fellows will use artificial intelligence thoughtfully, ethically and productively. By summer's end, the fellows will move from foundational research to technical development, culminating in a public presentation of their findings at an AI Innovation Symposium in January 2027.

The fellowships will provide funding for AI token costs, API access, software licenses, hardware materials and travel costs deemed necessary for the success of the projects. Students will also take advantage of mentorships at RE and the university level. Instituted earlier this year, the brand-new fellowships were awarded this month to select students after a competitive application and interview process

RE's Director of Teaching and Learning Jess Merrick is administering the program with the support of RE faculty members.

Find more information about their planned projects below:

Elliot Slusky '27: A school-sanctioned AI platform designed to clarify writing policies. It acts as a smart sandbox where teachers upload rubrics, and the AI provides real-time feedback on syntax and structure without generating student content.

Owen Brue '27: An AI powered personalized multi-year course roadmap tool designed to help students navigate RE’s vast academic options and identify niche signature programs.

Zoe Weber '27: A platform for teachers to record transcripts/summaries and notes for students who have excused absences.

Girish Raju '27: A congestion tracker for Coconut Grove to track general traffic patterns, parking hurdles and bus transportation.

Brandon Heller '27: The exploration and implementation of sophisticated AI architectures like Retrieval Augmented Generation.

Olivia Gomez '27: A Socratic learning companion focused on the ethical choice of guiding students toward reasoning rather than just giving answers.

Henry Whited '27: An AI system to address the performance gap in RE athletics. The system will track objective metrics like meters per minute and High-Speed (HS) distance to ensure student-athletes are physically prepared for the intensity of competition. The tool moves beyond subjective coaching observations to provide data-driven readiness scores.

Sienna Bautista '27: A situationally adaptive AI language learning application that simulates real world scenarios to reduce linguistic anxiety for students learning a second language.

Dhilan Tak '27: His project on classroom allergy patterns is deeply personal and grounded in engineering training at the University of Pennsylvania.

For information about how to support exciting programming at Ransom Everglades, email RE's Director of Advancement Vicki Carbonell Williamson '88.