Faculty

Below are the first faculty for the University of Washington Master of Science in Applied Chemical Science & Technology. More faculty will be added soon.

Xiaosong Li — Co-Director

Xiaosong LiXiaosong Li is the Harry and Catherine Jaynne Boand Endowed Professor of Chemistry in the UW Department of Chemistry, the co-associate chair for graduate education and the co-director of the Master of Science in Applied Chemical Science & Technology program. He heads a research group that focuses on the development of time-dependent electronic structure theory, relativistic quantum mechanical techniques and new methods for studying non-adiabatic dynamics of large-scale systems. Li earned his doctorate in theoretical chemistry at Wayne State University and was awarded a CAREER Award by the National Science Foundation in 2009 and a Sloan Research Fellowship in 2011.

Profile | xsli@uw.edu

Matthew Bush — Advising and Mentoring

Matt Bush is an associate professor in the UW Department of Chemistry and is affiliated with the Department of Biochemistry in the School of Medicine; the Biological Physics, Structure & Design Program; the Molecular Engineering & Sciences Institute; and the eScience Institute. He heads a research group that focuses on developing mass spectrometry-based approaches for elucidating the structures, assembly and dynamics of molecules. His group applies these approaches to a wide range of biological systems, with a focus on those involved in protein homeostasis. His research has been recognized through a Sloan Research Fellowship, an Eli Lilly Young Investigator Award in Analytical Chemistry, an ACS Findeis Award for Achievements by a Young Analytical Chemist, and an American Society for Mass Spectrometry Research Award.

Profile | acstadvising@uw.edu

Dan Fu — Admissions

Dan Fu is an assistant professor in the UW Department of Chemistry. His main research interests are the development and applications of quantitative chemical imaging tools to study various pathophysiological processes of living biological specimens at single-cell resolution. These tools involve state-of-the-art laser engineering, innovation in ultrasensitive signal detection, and novel machine learning/deep learning-based data analysis. Leveraging these powerful tools, the Fu lab aims to drive biomedical applications in three areas: 1.) new early detection and intraoperative methods for cancer diagnosis, 2.) understanding brain metabolism and brain dysfunction in neurodegenerative diseases, and 3.) understanding drug resistance mechanism in tissue. Fu earned his doctorate in physical chemistry from Princeton University. He is a recipient of the Beckman Young Investigator Award, the NSF Career Award, the NIH MIRA Award and the Eli Lilly Young Investigator Award.

Profile | danfu@uw.edu