Victoria Howle is a Full Professor at the Department of
Mathematics and Statistics, Texas Tech
University. She received her B.A. in English Literature (1988) from Rutgers University, and her M.Sc. (1998) and Ph.D. (2001) in Applied
Mathematics from Cornell University. She was a Senior Member of Technical Staff
at the Sandia National Laboratories in 2000–2007. Her research is in applied
mathematics with a focus mainly on
numerical linear algebra. Her main
research interests are currently in physics-based preconditioning for
incompressible fluid flow problems, scalable preconditioners for implicit
Runge-Kutta methods, and machine learning algorithms.
Minjun Chen received his Ph.D. degree from Zhejiang
University, China, in 2003. Starting in
2003, he worked as an Assistant Professor at the School of Pharmacy at Shanghai
Jiao Tong University in China and was promoted
to Associate Professor in 2005. In 2006, he came to the National Center for Toxicological Research
(NCTR) as a Postdoctoral Fellow jointly with the University of Medicine and
Dentistry of New Jersey. He was promoted to an FDA staff fellow in the division
in 2008 and currently is a staff fellow in the division. He
received the FDA Award for “Outstanding Junior Investigator” in 2012, the NCTR
“Scientific Achievement Award” in 2014, and the FDA “Scientific Achievement
Award for Excellence in Analytical Science” in 2017. He established and
currently co-chairs the FDA Liver Toxicity Working Group (LTWG), which is officially
endorsed by the Office of the Chief Scientist with 60 FDA scientists involved
to gather the expertise of drug-induced liver injury (DILI) within the FDA. His primary research interests encompass
bioinformatics, drug safety, biomarker discovery, and toxicogenomics.
