for this workshop
Applied Mathematics skills Improvement for Graduate studies Advancement (AMIGAs)
hosted by
American Institute of Mathematics
organized by
Erika Camacho, Keisha Cook, Malena Espanol, Alicia Prieto Langarica, and Nancy Rodriguez
This workshop, sponsored by AIM and the NSF, is a week-long summer program for incoming second- or third-year students in graduate programs in the USA. It is designed to support and train a new generation of mathematical scientists in applied and computational mathematics.
Applied mathematics research is rapidly shifting from classical applied mathematics, which focuses mainly on physical applications, to one that is more heavily driven by data and technology. In this Big Data era, students must be suitably trained in computational skills such as statistics, optimization, and machine learning.
AMIGAs seeks to provide participants with the initial skills and the confidence to transition smoothly to the next stage of their graduate program through tutorials, professional development activities, and research talks related to the mathematics of data science and its applications. Tutorials will focus on skills such as computer programming, mathematical modeling, and data management and computing. In addition, AMIGAs will provide participants with the skills to thrive in industrial careers, networking opportunities, and professional development sessions.
If you would like to participate, please apply by filling out the on-line form no later than March 15, 2025.
For more information email workshops@aimath.org
