Stanford ADRC Biostatistics, Bioinformatics, and Data Management Core
The Biostatistics, Bioinformatics, and Data Management Core of the Stanford Alzheimer’s Disease Research Center (ADRC), is responsible for managing large volumes of clinical, neuropsychological, genetic, imaging, tissue biomarker, and associated research data. The Core provides anonymous data to the National Alzheimer Coordinating Center and to qualified researchers at Stanford and other universities.
Core faculty work closely with other ADRC Cores in support of Center goals. They offer biostatistical consultation, support “big data” research using ADRC data, promote research on biostatistical methods tailored to ADRC data, provide statistical consultation to ADRC participating investigators, and offer biostatistical training for junior investigators.
Lu Tian, ScD
Associate Professor of Biomedical Data Science
Biostatistics, Bioinformatics, and Data Management Core leader
Lu Tian is an Associate Professor of the Department of Biomedical Data Science at Stanford University. He received his Sc.D. in Biostatistics from Harvard University. Dr. Tian has rich experience in conducting statistical methodological research, planning large epidemiological studies, running data management for randomized clinical trials and conducting applied data analysis. His current research interest is in developing statistical methods in personalized medicine, causal inference, survival analysis and high throughput data analysis.
Nigam H. Shah, MBBS, PhD
Associate Professor of Medicine, Biomedical Informatics Research
Dr. Nigam Shah is associate professor of Medicine (Biomedical Informatics) at Stanford University, Assistant Director of the Center for Biomedical Informatics Research, and a core member of the Biomedical Informatics Graduate Program. Dr. Shah's research focuses on combining machine learning, text-mining, and prior knowledge in medical ontologies to enable use cases of the learning health system.
Dr. Shah received the AMIA New Investigator Award for 2013. Dr. Shah integrates teaching into his advanced research work and was recognized with the Biosciences Faculty Teaching Award for outstanding teaching contributions in his graduate class on “Data driven medicine” (Biomedin 215). He holds an MBBS from Baroda Medical College, India, a PhD from Penn State University and completed postdoctoral training at Stanford University.
Rob Tibshirani, PhD
Professor of Biomedical Data Science
Professor of Statistics
Dr. Tibshirani's main interests are in applied statistics, biostatistics, and data mining. He is co-author of the books Generalized Additive Models (with T. Hastie), An Introduction to the Bootstrap (with B. Efron), and Elements of Statistical Learning (with T. Hastie and J. Friedman). His current research focuses on problems in biology and genomics, medicine, and industry. With collaborator Balasubramanian Narasimhan, he also develops software packages for genomics and proteomics.
Steven D. Edland, PhD
Professor, Department of Family Medicine and Public Health, University of California at San Diego
Dr. Edland is a consultant to the Stanford ADRC Biostatistics, Bioinformatics, and Data Management Core. He also serves as Core Leader for the Data Management and Statistics Core of the Shiley-Marcos ADRC at UCSD and previously served in a similar role for the Data Management and Statistics Core of the Mayo Clinic ADRC. Dr. Edland received his M.S. in Statistics and Ph.D. in Epidemiology from the University of Washington. His primary research interest is the epidemiology, treatment, and prevention of chronic disease, and his collaborative research often involves context-specific statistical methods.
Janet Hwang, MS
Janet Hwang received her bachelor's degree from the mathematics department of Tamkang University in Taiwan and her MS degree in computer science from the University of Houston in Texas. Prior to coming to Stanford in 2017, she worked for startup companies in San Jose, helping to design and implement database management systems and Web 2.0 technologies.
Eric Chow, MSc, MS
Eric Chow is a biostatistician in the Quantitative Sciences Unit, in the Department of Medicine. He has master's degrees in Decision Sciences from the London School of Economics and in Health Informatics from Johns Hopkins. Before coming to Stanford in 2017, he was a senior research data analyst at the Johns Hopkins School of Medicine. He has worked in areas related to neurovascular disease, chronic kidney disease, end-stage kidney and liver disease, and organ transplantation.