People - Core C
Daniel J. Tancredi, PhD contributes his expertise and over twenty-five years of statistical and data management experience to the UC Davis CounterACT program as the director of the Statistics and Data Management Core, providing targeted statistical design and analysis support to the research projects and scientific cores and an integrated web-based research database system that is used to facilitate reliable and cost-efficient data capture, processing and sharing. Dr. Tancredi has extensive experience in successfully developing, implementing and teaching efficient design, measurement and analysis strategies for basic and clinical research studies, including studies involving complex physiological, neuropsychological and imaging outcomes. From early in his career, he has been responsible for developing and maintaining reliable and secure databases in support of multidisciplinary research efforts. Highly collaborative and widely published, his NCBI Bibliography http://bit.ly/1MzJ50T lists more than 150 research publications in leading biomedical research journals. Dr. Tancredi is Associate Professor In Residence in the Department of Pediatrics at the UC Davis School of Medicine. He has a bachelor degree in behavioral sciences from the University of Chicago and a Ph.D. in mathematical statistics from the University of Illinois at Chicago.
Adam Austin is a master's-level statistician in the Department of Pediatrics at the UC Davis Medical Center. As a researcher in the CounterACT Center of Excellence, he collaborates across multiple labs groups in order to provide statistical modeling and software programming support for a wide array of biological problems. He produces analyses, graphics, and writing for publications, and he assists fellow researchers in data collection strategies and interpretation of statistical results. Adam holds a B.S. in molecular biology and an M.S. in applied economics from the University of Illinois at Urbana-Champaign. He received his M.S. in biostatistics in June 2014 from the University of California, Davis.
Danh V. Nguyen
Danh V. Nguyen is Professor in the Division of General Internal Medicine, Department of Medicine at UC Irvine School of Medicine. He was Professor in the Division of Biostatistics, Department of Public Health Sciences, School of Medicine, at UC Davis from 2003-2013. He has extensive experience in leading data coordination and analytical efforts in collaborative research centers and consortiums. He led UC Irvine Biostatistics, Epidemiology and Research Design Unit in the UC Irvine Institute for Clinical and Translational Institute from 2013-2017. He was the Consortium Statistics Leader for the NeuroTherapeutics Research Institute (2007-2013), Director of the Data Coordinating Center for the national Early Autism Risk Longitudinal Investigation (EARLI) Network (2007-2013), and Director of the Statistics Core of the Center for Children’s Environmental Health (2007-2009) and Associate Director of the Design and Biostatistics Core for the UC Davis Clinical and Translational Science Center (2007-2013) at UC Davis. He has contributed significant methodological innovations in the analysis of high-dimensional data, particularly in methods for dimension reduction, longitudinal data analysis methods, time-varying coefficient models, classification/prediction and application of error controls (e.g., false discovery rate, multiple testing). His collaborative research involves pre-clinical and clinical studies examining molecular and environmental factors in neurodevelopmental and neurodegenerative diseases.
Danielle J. Harvey, PhD, is an Associate Professor in the Division of Biostatistics, Department of Public Health Sciences, School of Medicine, at UC Davis. Her research primarily focuses on the statistical analysis of neuroimaging data. For the past fifteen years, she has worked in the area of Alzheimer’s disease, with particular emphasis on the use of neuroimaging to identify markers of disease progression. As such, she has expertise in the analysis of complex correlated data, whether the correlation is due to repeated measures from the same person (or animal) at a single time point (multiple brain regions or multiple electrodes, for example) or multiple measurements over time on the same person or animal (longitudinal studies). Dr. Harvey currently directs the Statistics Core for two studies of the effects of traumatic brain injury and post-traumatic stress disorder in cognitively normal Vietnam Veterans and Veterans with mild cognitive impairment using imaging and biomarkers in the Alzheimer’s Disease Neuroimaging Initiative (ADNI). She serves as a member of the Biostatistics Core for the UC Davis Alzheimer’s Disease Center and ADNI as well as the liaisons with the MRI and PET Cores for ADNI. She also serves as a member of the Biostatistics, Bioinformatics, and Research Design Core of the Intellectual and Developmental Disabilities Research Center at UC Davis. Through these shared resources, she has gained years of experience in collaborating with researchers with many different interests, assisting in grant development, study design, data analysis, and preparation of presentations and manuscripts. She will use her expertise to assist CounterACT investigators in study design, analysis, and interpretation of results.
Shuyang Li is a graduate student researcher at UC Davis and a doctoral candidate in the Department of Statistics at UC Davis. Her primary research topic for PhD dissertation is about modeling correlated longitudinal processes with one process systematically missing in the field of dementia. As a researcher in the CounterACT Center of Excellence, she collaborates on numerous projects across multiple labs in order to provide statistical modeling and software programming support. She created and maintained programming scripts, generated graphs and assisted fellow researchers in interpreting statistical results and preparing manuscripts under the supervision of faculty members in Statistics & Data Management Core. Shuyang holds a B.S. in Mathematics and Statistics from Nankai University in China. She received her M.S. in Statistics from UC Davis in 2014.