معرفی
Jillian Stupiansky is an Associate Professor and Associate Chair in the Department of Mathematics, Computer Science, and Data Science at John Carroll University. She holds a Ph.D. in Mathematics from the University of Florida (2013), an M.S. from the same institution (2009), and a B.A. in Mathematics from Birmingham-Southern College (2007). Her research focuses on mathematical biology, particularly modeling disease spread, with interdisciplinary applications such as analyzing forest fires, zombie apocalypse scenarios, and real-world epidemics like Huanglongbing in citrus groves. She has mentored over 20 students in research projects, emphasizing personalized student-driven investigations. Her teaching spans calculus, proofs, and applied mathematics courses, including PIC Math grant-sponsored interdisciplinary initiatives.
Before joining John Carroll in 2022, she taught at the University of North Alabama and Westminster College. She values community-driven academic environments and is passionate about fostering student engagement through innovative coursework and research. Her professional goals include advancing accessible mathematical modeling and leveraging her expertise to address real-world challenges.
- Education:
- Ph.D. in Mathematics, University of Florida, 2013
- M.S. in Mathematics, University of Florida, 2009
- B.A. in Mathematics, Birmingham-Southern College, 2007
Dr. Stupiansky’s teaching philosophy emphasizes hands-on learning and the integration of mathematics into diverse fields. She has developed courses combining mathematics with industry applications (e.g., Math in Industry) and collaborated with institutions like the HudsonAlpha Institute for Biotechnology. Her research bridges theoretical models with practical impact, addressing issues from disease ecology to cybersecurity through mathematical frameworks.
Her advising and grants highlight her commitment to student success: she has secured grants like PIC Math and guided students in creating models for varied scenarios. While no specific labs are named, her work involves collaborative research teams focused on applied mathematical solutions.
