Technical Staff

Jane-Ling Wang, Ph.D., Director

Dr. Wang (wang@wald.ucdavis.edu) earned her Ph.D. in Statistics from the University of California, Berkeley in 1982. She taught and conducted research at the University of Iowa, the Wharton School of the University of Pennsylvania, and is currently Professor in the Department of Statistics at the University of California, Davis. Her current research areas include: aging research, dimension reduction methods, functional and neuroimaging data, longitudinal data analysis, survival analysis, and joint modeling of survival and longitudinal data. She has extensive experience in collaborative research funded by NSF and NIH, and has served on NSF and NIH review panels.


Neil Willits, Ph.D., Senior Statistician

Dr. Willits (nhwlab@wald.ucdavis.edu) earned a Ph.D. in Statistics from Stanford University in 1981. He then served as a postdoctoral fellow at Stanford in environmental statistics, and he retains research interests in this area. He has served as a consultant in the Statistical Laboratory since 1986. He has twice received a special recognition award from the College of Letters and Science for the outstanding service he provides to the campus as a statistical consultant. He is well versed in a wide range of statistical methodologies and has co-authored over 90 publications with campus researchers. He has worked on many long-term and large-scale projects with external clients, most notably the California Water Resources Board and the State Departments of Toxic Substance Control and Fish and Game.


Jerome Braun, Ph.D., Senior Statistician

Dr. Braun (jvbraun@wald.ucdavis.edu) earned a Ph.D. in Statistics from UC Davis in 1996; he also holds Masters degrees in genetics and mathematics. At Genentech, Inc. from 1995 to 1998, he developed further expertise in software development, statistical programming, biotechnology consulting, and analysis of Phase I clinical trials while in the departments of Biostatistics and Scientific Computing. As an independent consultant since 1998, he has focused on the application of statistical algorithms and theory to all aspects of statistical consulting, including research, design, analysis, programming, and interpretation. Since joining the Statistical Laboratory in 2005, he has consulted on a wide variety of projects from many different scientific disciplines.


Associate Members

Faculty in the Department of Statistics serve as associate members of the Statistical Laboratory. They participate in the Lab’s consultation and contracted or collaborative projects when their statistical interests or special expertise warrant their involvement. This substantially expands the range of statistical specializations the Stat Lab can offer its clients.