Graduate Students
We are excited to invite prospective graduate students to apply to the University of Arizona's Applied Mathematics Graduate Interdisciplinary Program (GIDP). Our program offers a dynamic and flexible environment for pursuing M.S. and Ph.D. degrees, with dissertation topics spanning various areas of the physical, biological, and engineering sciences where mathematics and modeling are fundamental. Our goal is to cultivate active and creative researchers poised to lead in both their application areas and the relevant mathematical disciplines. Students are encouraged to engage in supervised research projects early in their studies, supported by a wide range of activities including seminars, colloquia, special lecture series, and research tutorial groups. For more information and application details, please visit our program's website: https://gidp.arizona.edu/academic-programs/applied-mathematics
We also encourage applications to the University of Arizona's Biomedical Engineering (BME) Ph.D. program. This interdisciplinary, research-focused program allows students to customize their degrees to align with individual interests within the department's focus areas, such as bioimaging, biosystems, cardiology and surgery, nanomedicine, sensors, and implementation. With full doctoral funding, the program offers a flexible experience for specialization, relevant research opportunities, and clinical and industrial internships. Our strong collaborations with other university departments, a top-tier medical school, and hospital provide fruitful opportunities to acquire knowledge and experience for careers in industry, academia, medicine, and government. For more information and application procedures, please visit the BME program's website: https://engineering.arizona.edu/grad-programs/bme
Undergraduate Students
We encourage undergraduate students to explore the diverse independent study opportunities offered by the University of Arizona's Department of Mathematics. These courses, ranging from MATH 199 to MATH 499, allow students to engage in individualized projects under the guidance of faculty members. Independent study courses are available at various levels:
100-level (MATH 199): Suitable for projects requiring no prerequisite college mathematics or statistics courses.
200-level (MATH 299): Designed for projects where the prerequisite knowledge includes 100-level courses, such as Calculus I or II.
300-level (MATH 399): Intended for projects with prerequisites at the 200-level, like Vector Calculus (MATH 223) or Ordinary Differential Equations (MATH 254).
400-level (MATH 499): Geared towards projects requiring 300 or 400-level prerequisites.
To enroll, please contact me to develop a project proposal and complete the necessary enrollment forms. It's important to submit these forms by the third week of the semester. Detailed information on enrollment procedures and requirements can be found here: https://kb.math.arizona.edu/
Additionally, the University of Arizona's Vertically Integrated Projects (VIP) Program offers a transformative approach to education by engaging undergraduate and graduate students in long-term, multidisciplinary project teams led by faculty. One notable project is the Horse Innovation Lab, which focuses on equine-related research and innovation. Participating in VIP teams provides hands-on experience and the opportunity to contribute to impactful research. For more information and to explore current VIP teams, please visit: https://uavip.arizona.edu/
Finally, We are pleased to invite undergraduate students to engage with our Research Training Group (RTG) in Data Driven Discovery at the University of Arizona. Our summer Research Experience for Undergraduates (REU) program introduces participants to fundamental mathematical and computational tools, providing opportunities to apply these skills to concrete scientific problems. Students work closely with faculty, postdocs, and graduate students on diverse projects, including neuroscience, turbulence, and medical imaging. This immersive experience not only enhances research capabilities but also fosters a collaborative environment for aspiring researchers. For more information and application details, please visit our REU program's website: https://sites.google.com/view/datadrivendiscovery/reu-2025