Priscilla Kelly

Institution/Organization: San Diego State University.

Department: Computational Science.

Academic Status: Graduate Student.

What conference theme areas are you interested in:

Computational science and machine learning;
Statistical modeling, methods, and computation;
Multiscale, multiphysics, and multilevel methods;
Algorithms at extreme scales;
High-order methods, novel discretizations, and scalable solvers;
Data science, analytics, and visualization;
Applications in science, engineering, and industry;
Scientific simulation and uncertainty;
Numerical optimization: methods and applications.


While my research background is in material physics and optics, I joined the Computational Science program at San Diego State University in order to learn a wide variety of computational skills. Currently, my Ph.D. research utilizes nonlinear optimization techniques and FDTD methods. I joined the Math Clinic at a partner university which worked on the development of faultlines in fracture networks. That work has opened my interests to the fields of machine learning and data science.

Non-Work Related Activities/Interests:

Outside of my research, I work as the president of the SIAM Student Chapter at SDSU to develop strong industry connections. In the past year, I have connected with different industry professionals and invited them to come and share their career paths with students. In my free time, I play the violin in a community orchestra and mentor young girls at my local community center in math and science.