## Matthew Sottile## Affiliate Graduate Faculty## Email: msottile@math.wsu.edu |

##### Education

- B.S., 1999, University of Oregon
- M.S., 2001, University of Oregon
- Ph.D., 2006, University of New Mexico

##### Professional Experience

Dr. Sottile is a computer scientist in the Center for Applied Scientific Computing at the Lawrence Livermore National Laboratory, and an adjunct faculty member in the WSU Mathematics and Statistics Department. His research work focuses on scientific and mathematical computing: current research projects include programming languages for high performance numerical computing, agent-based modeling applied to human decision making problems, and graph theory. Prior to his role at LLNL, he worked for 10 years in private industry (Galois, Noddle.io, and Sailfan Research) performing research in program analysis, data science, and image processing. Before entering industry, he worked at the Los Alamos National Laboratory as a technical staff member and graduate student in both the Advanced Computing Laboratory and Continuum Dynamics groups.

He has been a member of the WSU Math Dept. Analysis+Data group since 2015, studying problems related to network analysis and social systems from a dynamical systems and probabilistic perspective.

##### Research Interests

- Agent-based models
- Automatic theorem proving
- Symbolic computation
- Image processing
- Complex systems
- Graph algorithms
- Scientific computing
- Programming languages

##### Teaching

- MATH 220: Linear Algebra (Fall 2016 at WSU Vancouver)
- MATH 300: Mathematical Computing (Fall 2017 at WSU Vancouver)
- MATH 300: Mathematical Computing (Fall 2019 at WSU Vancouver)