Madhu Mazumdar, PhD: Dr. Mazumdar is the Director of the Biostatistics Shared Resource Facility and is responsible for the recruitment, retention, training, assignment and prioritization of consulting requests to BSRF biostatisticians. She is well known nationally and internationally for establishing biostatistics units and has extensively published on this topic. She led the reform effort of the TCI-BSRF expeditiously by following ten strategies and shared the experiences and success metrics in a perspective piece published in the Journal of the National Cancer Institute. Dr. Mazumdar is also a sought-after collaborator on projects spanning from laboratory research, clinical trials, and healthcare delivery research and has published >150 manuscripts in oncology of 280 total publications.
John Mandeli, PhD: Dr. Mandeli’s research interests focus on both statistical theory and applications. A major area of interest is the combinatorial construction of new experimental designs. He is also working on the statistical design and analysis of cancer clinical trials with emphasis on proper design and analysis of Phase I and Phase II clinical trials, the application of stopping rules, multistage designs, and classical experimental design theory to cancer clinical and laboratory study design.
Gary Winkel, PhD: Dr. Winkel is a Research Professor in the Department of Population Health Science and Policy. For the past fifteen years, he has worked with researchers in Cancer Prevention and Control on a variety of topics. Dr. Winkel is a specialist in research design and applied statistical analysis with emphases on longitudinal data analysis and structural equation modeling. In Cancer Prevention and Control, he is responsible for assisting investigators with issues of research design, statistical analysis, and power analysis. In addition, he is responsible for the management of study outcome assessments, assurance of data integrity, and assessment of key study endpoints.
Umut Özbek, PhD: Dr. Özbek’s primary focus is on statistical genetics and genetic epidemiology. Her other interests include cancer clinical trials, longitudinal multivariate modelling, penalized regression methods, high-dimensional data analysis, and pharmacogenomics. Dr. Özbek has an extensive consulting experience in designing and analyzing clinical and experimental trials.
Xiaobo (Tony) Zhong, DrPh: Dr. Zhong’s primary research is on developing novel methods for designing and analyzing clinical trials, clinical epidemiology, and on application of emerging statistical methods to population health research. He has authored 35 peer-reviewed publications and has the expertise and experience necessary to successfully carry out the data-management and analysis of the proposed projects.
Xiaoyu Song, Dr.Ph: Dr. Song’s research interests include the development of statistical theories and applications for multi-omics integrative analysis, quantile regression, high-dimensional data analysis, estimating equation, longitudinal data analysis and case-control studies. Her application fields include genomic and proteomic studies, cancer research, functional genomics, and adolescent health.
Liangyuan Hu, PhD: Dr. Hu’s research focuses on statistical methods for causal inference, missing data, survival analysis, longitudinal data analysis, Bayesian inference and machine learning. She is particularly interested in leveraging large-scale electronic health records data to address public health research questions with methodological rigor. Dr. Hu is the PI of a PCORI methodology grant developing and improving statistical methods for the estimation of causal effects and the handling of unmeasured confounding in the context of multiple treatments.
Erin Moshier, MS: As managing director of the Biostatistics Shared Resource Facility, Ms. Moshier worked extensively with Dr. Mazumdar to reform the Biostatistics Core for Tisch Cancer Institute (NCI). She provides mentorship and training to junior and senior team statisticians and coordinates and monitors their workload to ensure each member is meeting core productivity goals. She manages all financial contracts between core members and clinical groups while acting independently as lead statistician on four long term contracts with various cancer programs. Ms. Moshier co-chairs the Biostatistics Design Workshop, a committee charged with reviewing all interventional investigator-initiated cancer clinical trial protocols and improving their statistical design and analytical plans to meet NCI standards. She has co-authored more than 50 publications in oncology of 115 total publications.
Kezhen Fei, MS: Ms. Fei has over six years of experience in database management and analysis. She has extensive experience in SAS programming and collaborates with investigators in community based trials in breast and ovarian cancer. She is developing skills in analyzing high-dimensional databases from electronic health record system and discharge-based databases.
Hsin-Hui (Vivien) Huang, MD PhD MS MPH: Dr. Huang worked as a medical oncologist before pursuing her PhD of Epidemiology at the University of Pittsburgh. Her PhD dissertation focused on methods of network meta-analyses, adverse effects of breast cancer hormone treatment on cardiovascular disease risk, and cohort studies using electronic medical records. At Mount Sinai, she works with the investigators in the fields of head&neck, lung, and liver cancer to develop clinical trial protocols and grants involved in clinical outcomes, immune cell responses in the tumor microenvironment after immunotherapy.
Meng Ru, MS: Ms. Ru’s roles at The Tisch Cancer Institute Biostatistics Core and I-HDS include developing and reviewing clinical protocols presented in Biostatistics Design Workshop and providing statistical consultation for clinical research. She is experienced in multiple imputation, generalized mixed models and survival analysis. She works with collaborators in the field of radiation oncology, head and neck cancers, multiple myeloma and breast cancer has led to several peer-reviewed publications.
Jung-Yi (Joyce) Lin, MS: Ms. Lin is experienced with survival analysis, analysis for repeated measures, and modeling for cost prediction. Upon joining Mount Sinai as a biostatistician, she has finished several cancer-related research efforts including lab experiments, studies related to NCDB, and oncology healthcare research.
Jiayi Ji, MS: As a biostatistician, Mr. Ji’s research interests include statistical computing and graphics, the development of statistical theories and applications for multi-omics integrative analysis, high-dimensional data analysis, Bayesian data analysis and causal inference. He co-authored multiple studies in developing novel association and integrative analysis tools to understand the genomic architecture of human complex diseases such as cancer. He is also an active member of the Proteogenomic Data Analysis Center at Mount Sinai for the NCI’s Clinical Proteomic Tumor Analysis Consortium.
Nicole Zubizarreta, MPH: Ms. Zubizarreta has extensive experience in data management and statistical analysis, including multilevel models and survival analysis. Examples of databases she has worked with are the national claims-based Premier Healthcare Database and the National Cancer Database as well as more clinically focused datasets originating from EPIC, our electronic medical record. She helps to organize the weekly Biostatistics Design Workshop and to track cancer clinical trial protocols throughout the approval process. She is also the co-chair of the biweekly Cancer Biostatistics Clinic, which provides biostatistical advice to clinical researchers.
Denise Williams: Ms. Williams is the administrative assistant to the Biostatistics Shared Resource Facility. In this position, Ms. Williams is the main organizer of conferences and meetings for our core. She also assists in organization and set up of budget spreadsheets for grant submissions as well as tracking and compiling our core’s productivity metrics including number of grant submissions, FTE on grant submissions, financial contracts, publications, and consulting requests.
Affiliate members are called upon for their special skills in biostatistics, bioinformatics, data science, genetics, economics, qualitative research, decision science, and epidemiology if TCI projects are in need of these skills.
Institute for Healthcare Delivery Science in the Department of Population Health Science & Policy
Institute for Translational Epidemiology in the Department of Population Health Science
- Naomi Alpert, MS
- William Lieberman-Cribbin, MPH
- Joel Erblich, PhD
Department of Population Health Science & Policy
Center for Biostatistics in the Department of Population Health Science & Policy
Department of Neurosurgery
Department of Environmental Medicine & Public Health
Department of Population Health Science & Policy and Department of Genetics and Genomic Sciences
Department of Diagnostic, Molecular and Interventional Radiology