Naamna Modi’s path to biomedical data science began with a fascination for engineering and a passion for helping others. While earning her B.S. in Computational Data Science at Michigan State University, she found herself consistently drawn to projects that brought data science into the medical field. That blend of purpose and technical curiosity ultimately led her to the Applied Biomedical Data Sciences program at the St. Jude Graduate School of Biomedical Sciences.
Her academic journey included hands-on research at Michigan State’s Institute for Cyber-Enabled Research (ICER), where she explored high-performance computing and analyzed benchmarking data from parallel code to uncover performance trends. Modi’s interests continue to evolve around image recognition, machine learning, and scalable computing systems—all tools she hopes to use to support medical innovation and improve lives.
At St. Jude, Modi looks forward to being part of an institution that not only leads in scientific discovery but also centers its work around patients. The hospital’s mission to find cures and advance care for children with life-threatening illnesses closely aligns with her own values and aspirations. Through the ABDS program, she’s excited to deepen her skills and contribute meaningfully to St. Jude’s transformative work in pediatric health.
Hometown: Canton, MI
Education:
2025 - BS, Computational Data Science – Michigan State University
Awards/Honors/Scholarships:
2021-25 - Michigan Council of Women in Technology Scholarship Award