Read about the Center for Integrated Biostatistics and Epidemiology (CIBE) team members.
Team Members
Randi E. Foraker, PhD, MA, FAHA, FAMIA, FACMI
Professor and Chair, Department of BBME
Bio
Dr. Foraker specializes in the design of population-based studies and the integration of electronic health record data with socioeconomic indicators, as well as the use of synthetic data for research. Dr. Foraker provides her expertise in biomedical informatics, epidemiology, and population health support to projects submitted to CIBE.
Alok Dwivedi, PhD, MSc
Professor and Director of CIBE, Department of BBME
Bio
Dr. Dwivedi’s research is dedicated to advancing evidence-based and value-based biostatistical practices in biomedical research. Dr. Dwivedi applies and facilitates the integration of biostatistics, epidemiology, data science, and informatics tools across a wide range of health research. Dr. Dwivedi provides biostatistics and epidemiology support for grant applications and research studies, including protocol development and research design, sample size and power calculations, development of statistical analysis plans, clinical trials, systematic reviews and meta-analyses, and complex statistical modeling including structural equations modeling, joint models, inflated and hurdle count models, risk ratio models, quantile regressions, advanced survival models, prognostic and propensity score analyses, latent profile and class models, and machine learning models.
Gregory Petroski, PhD
Assistant Research Professor, Department of BBME
Bio
Dr. Petroski provides general biostatistics support, including study design, sample size computation, and data analysis, with a specific focus on psychometrics-related analyses.
Mojgan Golzy, PhD
Associate Research Professor, Department of BBME
Bio
Dr. Golzy’s work is driven by a passion for collaborative research and methodological innovation in response to compelling scientific challenges. Her primary research interests include cluster analysis, recurrent event data analysis, and mixed-effects modeling. She is a strong advocate for interdisciplinary collaboration and has contributed to impactful healthcare research in areas such as chronic kidney disease, bladder cancer, and HIV, applying advanced methods including survival analysis, competing risks, and causal inference techniques.
Nai-Wei Chen, PhD
Assistant Research Professor, Department of BBME
Bio
Dr. Chen has a wide range of methodological interests in theoretical and applied statistics, including longitudinal data analysis, categorical data analysis, generalized linear mixed models, latent growth curve models, missing data issues, and machine learning techniques. He applies these methods according to the needs of individual studies and objectives on his multidisciplinary collaborative projects such as aging, rehabilitation, and intervention through medications and nutrition.
Chester Schmaltz, PhD
Assistant Research Professor, Department of BBME
Bio
Dr. Schmaltz works at the Center for Medical Epidemiology and Population Health (CMEPH) and specializes in applied epidemiologic and public health research, with experience in survey design, sample size calculation, complex survey analysis, and population-based data systems such as cancer registry data.
Bin Ge, MD, MA
Senior Statistician, Department of BBME
Bio
Dr. Ge provides her expertise in research studies for data extraction, analytic data creation, web-based database development, sample size computation, and statistical analysis. She has more than twenty years of experience in health-related research and over fifty peer-reviewed publications, her background also includes formal medical training and four years of clinical practice as a physician, as well as five years of laboratory research in neurology. This blend of clinical, laboratory, and statistical expertise gives her a unique perspective in addressing health challenges.
Jennifer Bryant, MS
Senior Statistician, Department of BBME
Bio
Dr. Bryant provides her expertise in data management and statistical analysis, particularly in cancer-related projects for abstract, poster, and manuscript preparation. Her background includes fifteen years of scientific research laboratory work prior to her transition to statistics. She has extensive experience with analysis of large datasets including EHR data and medical claims records. She has participated in numerous quality improvement projects and possesses statistical genetics/genomics data expertise as well.
Victor Vu, MS
Office Support Assistant, Department of BBME
Bio
Mr. Vu assists in project assignments, management, data tracking, data management, and website updates related to our center.
