# How can the principles of applied and computational mathematics be used to better understand our world?

Juan Meza looks at the foundational math underlying real-world science problems to understand and predict how things behave. His work focuses on applied mathematics and computational research, with an emphasis on methods for parallel computing. He has also worked on a variety of scientific and engineering applications, such as scalable methods for nanoscience, power grid reliability, molecular conformation problems, optimal design of chemical vapor deposition furnaces, and semiconductor device modeling. He was named Dean of the School of Natural Sciences at UC Merced in 2011.

Juan develops mathematical models to study the robustness of the electric power grid

Through mathematical models, Juan studies the effect of different treatment regimens on antibiotic resistance

Juan works on developing machine learning algorithms for various data analysis problems

Juan has taught courses on “Mathematical Modeling for Biology” and “Fundamental Concepts in Computational and Applied Mathematics”

Juan has given talks on communication skills and other aspects of professional life, and has worked to advance underrepresented minorities in science and engineering.

Among my goals for this website are to reach out to students and researchers, highlight the value of STEM to society, and advance diversity and outreach activities.