Staff

Andre Rogatko, PhD

Director, Biostatistics and Bioinformatics Email: andre.rogatko@cshs.org

Mourad Tighiouart, PhD

Associate Director, Biostatistics and Bioinformatics Email: mourad.tighiouart@cshs.org

Steven Piantadosi, MD, PhD

Steven Piantadosi, MD, PhD

Director, Samuel Oschin Comprehensive Cancer Institute Email: steven.piantadosi@cshs.org

Zhenqiu Liu, PhD

Zhenqiu Liu, PhD

Director, Bioinformatics Email: zhenqiu.liu@cshs.org

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Zhenqiu Liu, PhD, is the director of bioinformatics, and faculty in the Department of Medicine 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. 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.

Márcio Augusto Diniz, PhD

Faculty Biostatistician Email: marcio.diniz@cshs.org

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Márcio Augusto Diniz, PhD, is a faculty biostatistician at the Samuel Oschin Comprehensive Cancer Institute. He received a MS in statistics from the University of Campinas, Brazil in 2009 and a PhD in statistics from the University of São Paulo, Brazil in 2015. Before joining Cedars-Sinai, Diniz worked as a statistician for three years at the medical school at the University of São Paulo, where he contributed his expertise in design of experiments, data analysis for using appropriate statistical methodologies, and teaching statistics for investigators. His experience and interests include applications of Bayesian analysis in medical research and regression models with focus on categorical and time to event responses. On-going projects include developing of time to event models to dose combination of cytotoxic and biologic agents in phase I clinical trials and statistical software for EWOC.

Nan Deng, PhD

Research Bioinformatician Email: nan.deng@cshs.org

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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. 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 To Bresee

Catherine Bresee, MS

Senior Biostatistician Email: catherine.bresee@cshs.org

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Catherine Bresee, MS, is a senior biostatistician at the Samuel Oschin Comprehensive Cancer Institute. She received her MS in biostatistics from the UCLA in 2008. Previously, 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. Bresee is the Biostatistical Reviewer for the Cedars-Sinai Institutional Animal Care and Use Committee. She is involved in ongoing projects with the Women's Cancer Research Institute, as well as with non-cancer related projects in urology, endocrinology, surgery, and regenerative medicine.

Galen Cook Wiens

Galen Cook-Wiens, MS

Senior Biostatistician Email: galen.cook-wiens@cshs.org

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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 City for 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.

Sungjin Kim, MS

Senior Biostatistician Email: sungjin.kim@cshs.org

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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.

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Michael Luu, MPH

Research Biostatistician I Email: michael.luu@cshs.org

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Michael Luu, MPH, is a research biostatistician at the Samuel Oschin Comprehensive Cancer Institute. Luu received his master’s in public health with an emphasis in biostatistics and epidemiology at the University of Southern California in 2015. He is a proficient R programmer who was also trained in SAS, STATA and SPSS. His experience involves survival analysis, predictive modeling and data visualizations, among other areas. Current and past projects involve analysis of large national inpatient databases such as the National Cancer Database, SEER-Medicare from the National Cancer Institute, Healthcare Cost and Utilization Project, California’s Office of Statewide Health Planning and Development and Pediatrics Health Information Systems. Before joining Cedars-Sinai in 2016, he served as a biostatistician at Children’s Hospital Los Angeles for the Division of Neonatology and Department of Anesthesia Critical Care Medicine.