|Angie Salinas||Assistant Dean of Student Support|
|Mireille Smith||Director of Financial and Administrative Operations|
|Carrie King||Graduate Group Coordinator|
|Dora Lopes||Academic Personnel Manager|
About the Dean
Juan C. Meza is dean of the School of Natural Sciences at the University of California, Merced. He joined the campus in September 2011.
Previously, he served as department head and senior scientist for High Performance Computing Research at E.O. Lawrence Berkeley National Laboratory where he worked in computational science and mathematics, computer science and future technologies, scientific data management, visualization, and numerical algorithms and application development. In that position, he was also responsible for developing short and long-term research and development plans and proposing new directions for technology.
Meza's current research interests include nonlinear optimization with an emphasis on methods for parallel computing. He has also worked on various scientific and engineering applications including scalable methods for nanoscience, power grid reliability, molecular conformation problems, optimal design chemical vapor deposition furnaces and semiconductor device modeling.
Prior to joining Lawrence Berkeley National Laboratory, Meza held the position of distinguished member of the technical staff at Sandia National Laboratories and also served as the manager of the Computational Sciences and Mathematics Research Department. He was recently named as by "Hispanice Business" magazine as a Top 100 Influentials in the area of science. In addition, he has been elected a fellow of the American Association for the Advancement of Science (AAAS) and was the 2008 recipient of the Blackwell-Tapia Prize and the Society for Advancement of Chicanos and Native Americans in Science's (SACNAS) Distinguished Scientist Award. He was also a member of the team that won the 2008 ACM Gordon Bell Award for Algorithm Innovation.
Meza has served on numerous external committees including: the U.S. Department of Energy's Advanced Scientific Computing Advisory Committee; the Human Resources Advisory Committee for the Mathematical Sciences Research Institute; the boards of trustees for the Institute for Pure and Applied Mathematics and Society of Industrial and Applied Mathematics (SIAM); the Board of Governors for the Institute for Mathematics and its Applications; and the External Advisory Committee for the National Partnership for Advanced Computational Infrastructure.