• 3
  • bacterial swarming


  • high order pde

  • blood_clotting2

  • bacteria


Solving the complex problems the world currently faces—from human diseases such as breast cancer to such environmental concerns as global warming—requires deep knowledge of each problem’s nature and numerous tools, perspectives, and expertise, including applied mathematical and statistical modeling and computational methods. 

The Department of Applied and Computational Mathematics and Statistics (ACMS) supports a collaborative approach to research by preparing and empowering students and faculty with deep domain knowledge in mathematics and statistics to apply their expertise in a variety of fields, which opens opportunities to transcend traditional disciplinary boundaries to impact critical problems in the natural and social sciences, technology, and beyond. 

Students may pursue undergraduate or graduate degrees in ACMS; both offer the chance to work with interdisciplinary research teams that push the edges of innovation—projects like Clinical Prognostic Test for Metastasis in Breast Cancer, Integrating Multiscale Modeling and in vivo Experiments for Studying Blood Clot Development, and Multiscale Stochastic Model of Bruising.

Featured Research

Recent News

Young alumni present "From Actuarial Science to a Predictive Analytics Career"

September 22, 2016

Berniegray Dominickghirardo

On September 19th Notre Dame alumni Bernie Gray and Dominick Ghirardo returned to the University to speak to current students about careers in predictive...

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