Welcome to the Interdisciplinary Program in Applied Mathematics!
Established in 1976, our program has steadily evolved into an esteemed interdisciplinary graduate initiative with recognition both on the national and international stages. The core strength of our program rests in our distinguished faculty members. Drawing from diverse academic fields - spanning mathematics, physics, biology, and engineering - they create a vibrant and dynamic learning environment for our students.
We welcome students with B.Sc. degrees in Mathematics, Physics, Engineering, and other STEM fields who possess a strong foundation, passion for, and a desire to enhance their mathematical skills in theory, methods, and applications.
Choosing Tucson: A Universe of Opportunities Awaits
- Personalized Academic Journey: Traverse from Arizona-classic domains such as astronomy, optics, hydrology, and biomedicine to contemporary topics like AI, unveiling the expansive applications of mathematics. Begin by grounding yourself via core courses in the foundational principles with a blend of theory, methods, and algorithms. As you advance, tailor your studies with your research inclinations.
- Assured Teaching & Research Roles: Commitment to our students goes beyond just academics. Not only do we provide them with teaching opportunities spanning various levels, but we also ensure mentorship and support as they embark on research assistantships. And with a diverse array of over 120 professors, students are spoilt for choice when selecting an advisor.
- Collaborative Lab Experiences for the Future: Our strong ties with both national and industrial labs facilitate invaluable hands-on research opportunities for students. These experiences often start with internships and blossom into lasting partnerships. Armed with this knowledge, hands-on experience, and backed by our network of collaborations, students find themselves poised for a range of career prospects, from academia and cutting-edge tech industries to national laboratories.
Considering a Future in Applied Mathematics? If you're an aspiring graduate student keen on pursuing a PhD in Applied Mathematics, we believe our program can offer an enriching journey. Dive deeper: Request More Info, watch a Video about the Program, and Apply Now!
Warm regards, Michael Chertkov, Chair, Program in Applied Mathematics
Congratulations Misha Chertkov, AAAS Fellow!
Congratulations to Misha Chertkov for recently being named AAAS Fellow!
Following a tradition that began in 1874, the American Association for the Advancement of Science Council elects a new class of scientists, engineers and innovators as AAAS Fellows each year in recognition of scientific and social achievements.
The new class of 506 fellows was announced on January 31, 2023. As one of only five UofA recipients, Professor Michael “Misha” Chertkov is being recognized for "using methods of statistical physics to make profound contributions to our understanding of diverse systems, such as the power grid, machine learning and turbulence."
The new Fellows will receive a certificate and a gold and blue rosette pin (representing science and engineering, respectively) to commemorate their election and will be celebrated in Washington, D.C., in summer 2023.
Alumni Spotlight: Congratulations Michael Shelley!
Congratulations Michael Shelley, (PhD 1985), Alumni, Program in Applied Mathematics was elected to the National Academy of Sciences on May 3, 2022, in recognition of distinguished and continuing achievement in original research.
Michael Shelley of the Courant Institute of NYU has been elected to the National Academy of Sciences for outstanding contributions, biophysics, and fluid dynamics.
On my work these days: I work mostly on self-organization in cell biology and active matter systems.
How do structures form in the cell from the interactions of many molecular constituents; How do these subcellular structures do important things like move and position genetic material during cell division, etc. This involves development of numerical methods for many-body interactions, coarse-graining methods for such programs, mathematical analysis, and large scale simulation and inference.