AI Student Partners
Generative AI is having transformative impacts on teaching and learning—and you don’t have to explore it alone. As part of Notre Dame’s commitment to empowering the campus community with AI fluency, Notre Dame Learning’s Lab for AI in Teaching and Learning (LAITL) houses a team of trained undergraduate AI partners who are ready to work with faculty, students, and staff.
AI student partners can help you:
- Explore AI literacy as a gateway to innovating with advanced AI applications and frontier models
- Try out AI tools (like Gemini, Copilot, ChatGPT, and more) and their latest features
- Understand the risks and opportunities of AI in the classroom
- Practice prompt-writing strategies relevant to learning and teaching
- Use AI ethically and effectively whether you’re a student taking courses or an instructor designing and teaching them
All guidance complies with the University’s AI policies. If in doubt about what’s allowed in a course, students should ask the instructor.
How to Connect
- Drop-In Hours: Join us during our AI student partner drop-in hours in 260 Hesburgh Library (in the 2nd-floor Tech Commons); refer to this Google calendar for dates and times.
- 1:1 Sessions: Want personalized help? Contact us to schedule a 1:1 session with an AI student partner tailored to your needs. Whether you’re curious, cautious, or ready to collaborate, our AI student partners are here to support your teaching journey with AI.
Where to Find Us
Our home in 260 Hesburgh Library offers a flexible and welcoming space perfect for informal demos, poster-style walk-throughs, and learning conversations.
In addition, 1:1 sessions can be scheduled in Hagerty Family Cafe in Duncan Student Center, elsewhere on campus, and over Zoom.
Meet the Student Partners
We’re pleased to introduce you to the Notre Dame students serving as AI partners during the 2025–26 academic year.
Evaristo Campos de Abreu Ribeiro
Notre Dame Class: 2028
Major: Electrical Engineering
Minor: Innovation & Entrepreneurship
Hi! I’m a sophomore studying electrical engineering with a minor in innovation & entrepreneurship. I’m a teaching assistant for First-Year Engineering and love helping others learn and grow in subjects I’m passionate about. On campus, I’m involved in research, Student International Business Council, IEEE, and EAA. As a Lider Estudar fellow, I’m especially interested in electronics, aviation, and coaching others through hands-on learning.
Joe Chou
Notre Dame Class: 2027
Major: Business Analytics
Minors: Finance; Energy Studies
My name is Joe Chou, and I am a junior studying business analytics with minors in finance and energy studies. I’m originally from Taiwan, and I currently live in Graham Family Hall. On campus, I’m involved in Student International Business Council, the Notre Dame Investment Club, and The IDEA Center. I am interested in the ethical implications of using AI in an academic setting.
Isabella Victoria Correa Martinelli
Notre Dame Class: 2027
Major: Finance; Business Analytics
Minors: Computing and Digital Technologies
I’m Isabella, a finance and business analytics major originally from Panama City, Panama. I am driven by the intersection of finance and technology to solve complex problems, with a specific focus on educational accessibility. Beyond my studies, I serve on the Global Leadership Council for Operation Smile, representing the USA region. Currently, I am advocating for a collaborative approach to AI in the classroom, working to bridge the gap between student usage and faculty integration.
Passion Hood
Notre Dame Class: 2027
Major: Finance
Minor: Data Science
Hi! My name is Passion, and I’m studying finance and data science. On campus, I’m involved in the Investment Club, Wall Street Club, and several leadership initiatives. I am excited to be an AI partner because I enjoy helping students feel more comfortable using AI as a learning tool—not as a replacement for critical thinking, but as a way to ask better questions and explore ideas more deeply. I’m particularly interested in connecting technical AI tools to real-world applications across different disciplines and supporting both students and faculty as they navigate how AI fits into education.
Judy Lee
Notre Dame Class: 2026
Major: Business Analytics
Minors: Finance; Computing and Digital Technologies
Hi, my name is Judy, and I’m a rising senior majoring in business analytics, with minors in finance and computing and digital technologies. I’m originally from South Korea and Brazil, and I’ll be off campus this school year. I’ve been part of the Kaneb Center for Teaching Excellence as an undergraduate research assistant since October 2023, and I’m beyond excited to now serve as one of the AI partners, helping students and faculty leverage AI tools in education.
Lorena Maher
Notre Dame Class: 2027
Majors: Economics; Applied and Computational Mathematics and Statistics
Minors: French; Middle Eastern and North African Studies
Hi, my name is Lorena, and I’m studying economics and applied and computational mathematics and statistics, with minors in French and Middle Eastern and North African studies. I’m from Houston, Texas, but I live in McGlinn on campus. I’m part of Student International Business Council and Beyond the Dome’s marketing & branding team. I originally joined LAITL because I’d been interested in doing research on campus and had never actually been a heavy AI user. I’ve loved my experience so far and the ability to incorporate my passion for adapting education with my research.
Sofia Uribe Mora
Notre Dame Class: 2027
Major: Business Analytics
Minor: Finance
I am Sofia, a junior majoring in business analytics with a minor in finance. I have been involved in the Student International Business Council and the Data Club, where I collaborate on business projects and develop technical and analytical skills. On campus, I also work as a building manager at the Duncan Student Center. I am passionate about using data to drive business results and thrive at the intersection of technical problem-solving and the relational side of business. I am especially interested in leveraging AI tools to support and enhance education in responsible ways.