Zhenqiu Liu, PhD
Zhenqiu Liu, PhD is the Director of Bioinformatics and Faculty in the Department of Medicine’s Hematology/Oncology Division and the Department of Biomedical Sciences. Previously, he was an associate professor of bioinformatics at the Department of Epidemiology and Public Health and Greenebaum Cancer Center, University of Maryland School of Medicine. Dr. Liu’s research is in bioinformatics, computational biology and big data mining and has been funded by the National Cancer Institute and National Science Foundation. His current research focuses on survivorship prediction, biomarker identification and pathway and network constructions with multi-source genomic data. He has extensive collaborative research experiences in laboratory investigations, biomarker evaluation, genomics, clinical and epidemiological researches.
Xiao Zhang, PhD
Xiao Zhang, PhD is a research scientist at the Biostatistics and Bioinformatics Research Center at Cedars-Sinai. Prior to joining the faculty at Cedars-Sinai, she was a research assistant professor in the Department of Biostatistics, University of Alabama-Birmingham. Dr. Zhang’s areas of research expertise include multivariate analysis using Bayesian methods, missing data analysis, survival analysis and statistical methods in clinical trials. She is also interested in collaborative research with people from different scientific fields. Dr. Zhang earned her master's degree in probability and statistics from Beijing University of China and received her doctorate in biostatistics from University of California, Los Angeles.
Nan Deng, PhD
Nan Deng, PhD, is a research bioinformatican at the Samuel Oschin Comprehensive Cancer Institute. Prior to joining Cedars-Sinai, she was a research assistant at the Computational Biology and Data Mining Group in the Department of Computer Science at Wayne State University, where she earned her PhD degree in Computer Science in 2014. Dr. Deng has strong computational and analytic skills with a broad interdisciplinary background in computer science, bioinformatics and statistics. She has extensive experiences in algorithm design and implementation, statistical model building and next generation sequencing (NGS) data analysis. Deng has developed novel algorithms and computational software tools for transcriptome quantification, characterization and identification using RNA-Seq, in particular detecting various types of differential splicing events between healthy and diseased human transcriptomes. She is also seeking opportunities to collaborate with biomedical researchers to study and better understand life-threatening human diseases by integrating genomics, transcriptomics, epigenetics and proteomics.
Catherine Bresee, MS
Catherine Bresee, MS, is a senior biostatistician at the Samuel Oschin Comprehensive Cancer Institute. She received her MS in biostatistics from the University of California, Los Angeles in 2008. Previously, Ms. Bresee served as a research associate at Cedars-Sinai, Michigan State University and Lovelace Research Institute in New Mexico. She has 20 years of clinical and pre-clinical research experience. Her current interests are in clinical trial design, protocol development and grant writing, as well as longitudinal data analysis. Ms. Bresee is the Biostatistical Reviewer for the Cedars-Sinai Institutional Animal Care and Use Committee. She is involved in ongoing projects with the Wasserman Breast Center and Women’s Cancer Research Institute, as well as with non-cancer related projects in urology, endocrinology, surgery, and regenerative medicine.
Galen Cook-Wiens, MS
Galen Cook-Wiens, MS is a senior biostatistician at the Samuel Oschin Comprehensive Cancer Institute. He received a MS in biostatistics from the University of Michigan in 2006, and an MS in mathematics from the University of Iowa in 2004. Before joining Cedars-Sinai, Cook-Wiens was a senior research analyst at the University of Kansas Medical Center in Kansas Cityfor five years. His experience includes longitudinal modeling, mixed models, propensity scoring and survival analysis. Current projects include working with regenerative medicine, women’s cancer research and developing EWOC software, among others.
Quanlin Li, MS
Quanlin Li, MS is a senior biostatistician at the Samuel Oschin Comprehensive Cancer Institute. He received a MS in statistics from Duke University in 2008, and a MS in environmental science from Peking University, China in 2004. Before joining Cedars-Sinai, Li was a statistician at the U.S. Environmental Protection Agency in Chapel Hill, NC, for four years. Li has a strong statistical background and programming skills. He works with investigators on study design, database management and conducts statistical analysis. Ongoing projects include multi-state survival analysis, multiple imputation method for missing data, and developing software applications for cancer phase I clinical trial (EWOC).
Sungjin Kim, MS
Sungjin Kim, MS, is a senior biostatistician at the Samuel Oschin Comprehensive Cancer Institute. She received an MS in Biostatistics from UCLA in 2006. Before joining Cedars-Sinai, Kim was a senior biostatistician providing statistical expertise in study design, data analysis, and proposal/manuscript preparation for clinical and pre-clinical investigators at the Winship Cancer Institute of Emory University in Atlanta, Georgia. She has many years of collaborative experience in cancer research, biomarker studies and health service research. Her experiences include survival analysis, longitudinal data analysis, receiver operating characteristic analysis, propensity score analysis, meta-analysis, joinpoint regression analysis and early phase clinical trials designs.