Student Spotlight on Megi Lazri

student spotlight image Megi Lazri

Megi Lazri
Data Literacy Intern & Research Assistant 
Health Services Administration, Class of 2025 

Megi Lazri joined the Center for Augmenting Intelligence (CAI) in May 2024 as a Research Assistant, bringing a passion for ethical innovation, community impact, and the intersection of science and healthcare. Her work spanned several major CAI initiatives, including the AI Urban Health Challenge, the Aeroponics Research Project, and the Study Aid educational platform

In her role, Megi supported faculty on projects related to responsible AI in healthcare and education, created AI-driven instructional materials, and played a key part in coordinating the AI Urban Health Challenge—an event that successfully brought together 75 participants from across campus and the community. She also maintained and promoted CAI’s aeroponics research system, helping address issues such as food insecurity through technology-enabled solutions. Her work culminated in presenting findings at a university symposium. 

Megi was drawn to CAI after being recognized for her abilities by Dr. Phillip Olla. She saw the opportunity to make a meaningful impact on Detroit Mercy’s campus and surrounding communities while learning to apply science and innovation ethically. Her proudest moment was seeing the Urban Health Challenge run smoothly and witnessing the excitement and engagement it generated. 

Through her CAI experience, Megi strengthened her public speaking skills, deepened her understanding of AI ethics and governance, expanded her project management abilities, and grew more confident in communication and teamwork. She discovered that she could make a real difference in the healthcare field without being a clinical provider, and she learned how meaningful work feels when it aligns with shared goals. 

Looking to the future, Megi is excited about how AI can reduce repetitive tasks and improve efficiency in healthcare. CAI taught her how to use AI productively without becoming dependent on it. 

 
She believes: 

“AI will never replace you, but a person who knows how to use it will.” 

Her advice for future CAI contributors: 

“Be open and step outside your comfort zone.” 

Key takeaway: You can do more than what you think you’re capable of. 

 One word that describes her experience: Meaningful. 


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