Angie Kim

Institution/Organization: Brown University.

Department: Applied Mathematics.

Academic Status: Undergraduate 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;
Tensor Computations;
High-order methods, novel discretizations, and scalable solvers;
Data science, analytics, and visualization;
Applications in science, engineering, and industry;
Biological and biomedical computations;
Scientific simulation and uncertainty;
Numerical optimization: methods and applications;
Reduced order modeling.


I have just been accepted into the Applied Math department’s Directed Reading Program, where I’ll be working with a PhD student to gain background in dynamical systems with the goal of starting a long-term research project under that umbrella. My other primary research interest and experience lies in machine learning, particularly in artificial neural networks.

Non-Work Related Activities/Interests: 

Outside of my research/academic interests, I’m passionate about long-distance running, food journalism, environmental justice advocacy, and puzzles (crosswords, sudoku, etc).