User:Hchen221/sandbox

= Julianne Chung = Julianne Chung is an associate professor in the Department of Mathematics at Virginia Tech. Her research primarily consists of numerical methods and software used to solve large-scale inverse problems such as those found in imaging applications.

Early Life/Education
Chung has earned 2 degrees from Emory University throughout her education. Her first degree was a B.A. with Highest Honors from August 2000 to May 2004 with a major in mathematics. She then earned a Ph D in Computational Mathematics in May 2009. From July 2009 to August 2011, she was an NSF (National Science Foundation) Mathematical Sciences Postdoctoral Research Fellow at the University of Maryland at College Park.

Career/Research
After her experience as a Postdoctoral Research Fellow, Chung became an Assistant Professor in the Department of Mathematics at the University of Texas at Arlington from 2011 to 2012. She then became an Assistant Professor in the Department of Mathematics and CMDA (Computational Modeling and Data Analytics) Division at Virginia Tech from 2013-2019, where she is an Associate Professor since 2019.

Chung's primary research interests include scientific computing and numerical linear algebra, inverse problems, high performance computing, and image reconstruction. Due to being a computational scientist, her research revolves around the intersection of mathematics, computer science, and scientific application. Some of her research projects include regularization of ill-posed inverse problems, image processing applications, separable nonlinear problems, optimal design of filters, and large scale problems.

Honors/Awards
Chung was a Department of Energy Computational Science Graduate Fellow. In 2010, she received the Frederick A. Howes Scholar in Computational Science award.

She was also awarded the NSF CAREER grant in 2017 for finding more efficient methods of solving inverse problems. The CAREER grant is given from the NSF to those who are projected to be future academic leaders. Chung was given the award to advance mathematical theory and produce new tools to make scientific observations less committal in terms of time and money.

Chung was elected to be the secretary of the SIAM (Society for Industrial and Applied Mathematics) Activity Group on Imaging Science from 2016 to 2017, and was also invited to be the SIAM representative on the Committee on Women in the Mathematical Sciences during 2019-2023.