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Johns Hopkins Biostatistics Center

Our People


Leadership

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Gayane Yenokyan, MD, MPH, PhD

Executive Director, Johns Hopkins Biostatistics Center
Associate Scientist, Department of Biostatistics
Johns Hopkins Bloomberg School of Public Health
 

I have a diverse background in medicine, health policy, epidemiology and biostatistics and am the only medically-trained biostatistician in the center. Since joining the center in 2007, I have been the lead statistician on a number of research collaborations with investigators at the Schools of Public Health, Medicine and Nursing as well as external organizations. These projects range from large observational studies to clinical trial design and analysis. My key research interests include modeling patient-centered outcomes post-hemorrhagic stroke, relationship between cerebral blood flow autoregulation and neurocognitive outcomes after cardiac surgery, longitudinal disease trajectory in children and adolescents with Attention-Deficit/Hyperactivity Disorder (ADHD), bipolar disorder, and eating disorders, and, most recently, single-case designs for behavioral interventions in children with self-injury. I am proficient in STATA, SAS, SPSS and R.

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Andre Hackman, BA

Data Information Services Core (DISC) Director, Associate Director, Johns Hopkins Biostatistics Center
Faculty Research Associate, Department of Biostatistics 
Johns Hopkins Bloomberg School of Public Health
 

My primary expertise is in data management practice, instruction, and implementation for health research applications. My main areas of focus are working with researchers to design and implement appropriate data management systems and helping them to produce high-quality research data. I also teach an introductory data management course in 2 terms of the academic year. For the past 21 years, I have been involved with population-based research at the Johns Hopkins Bloomberg School of Public Health both in the United States and overseas. During my first 11 years, I worked in the Department of International Health supporting large, maternal mortality trials in Nepal and Bangladesh as well as anemia prevention trials in East Africa. For the past 10 years, I have been the director of data management services in the Johns Hopkins Biostatistics Center (JHBC) serving researchers across all of the schools at Johns Hopkins University.

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Carol Thompson, MS, MBA

Associate Director, Johns Hopkins Biostatistics Center
Associate Scientist, Department of Biostatistics
Johns Hopkins Bloomberg School of Public Health
 

I have worked in a statistical consulting/analyst type position for most of my career, covering a breadth of subject matter areas in industry, academia, and research organizations. As part of my position in the Biostatistics Center, I have consulted with, and worked on, a variety of public health and medical research projects which have thus far resulted in more than 80 co-authored publications. My support of research projects has ranged from small ICTR (NIH-funded Institute of Clinical and Translational Research) clinic sessions to multi-year research collaborations, and from study design through statistical analysis and manuscript preparation. These research studies have included retrospective and prospective perspectives, small clinical trials and surveys. The statistical methodologies included longitudinal and multi-level, real-world and observational data analysis, missing data solutions, reliability/validity testing, survey design and analysis, survival analysis, latent variable modeling and patient-reported outcomes.

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Jiangxia Wang, MS, MA

Associate Director, Johns Hopkins Biostatistics Center
Assistant Scientist, Department of Biostatistics
Johns Hopkins Bloomberg School of Public Health
 

I joined the Johns Hopkins Biostatistics Center in 2009. My collaboration with researchers from public health and medicine has resulted in 60 co-authored publications in the area of ophthalmology, surgery, and neurology between 2009-2018. My key research interests include modeling disease progression using longitudinal data, estimating disease prevalence and trends over time using Medicare data or national survey data. My area of expertise includes design and analysis of clinical trials, multilevel and longitudinal modeling, and complex survey analysis. I am proficient in STATA, SAS and R.


Biostatisticians

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Josh F. Betz, MS

Faculty Research Associate, Johns Hopkins Biostatistics Center
Department of Biostatistics
Johns Hopkins Bloomberg School of Public Health
 

I am broadly interested in applying biostatistics methods to meet and address research challenges. I've worked on many domains and phases of research, from pilot studies (HEARS Baltimore, ICES) to multi-center clinical trials (CLEAR III, MISTIE III) as well as analyses of epidemiological cohort studies (Health ABC, ARIC). I've also written software for designing and optimizing adaptive clinical trials in collaboration with Michael Rosenblum, Jon Steingrimsson, and Adi Gherman. My interests include applied statistics, reproducible research, clinical trials, statistics and the philosophy of science, high performance computing, best practices in quantitative research, and statistical education and literacy. I am proficient in R, SAS (STAT, MACRO, IML), and LATEX, and have experience with Stan, JAGS, and STATA.

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Leah Jager, PhD

Assistant Scientist, Johns Hopkins Biostatistics Center
Department of Biostatistics
Johns Hopkins Bloomberg School of Public Health
 

I am an Assistant Scientist in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health.  I have been working with the Biostatistics Center since 2018, providing support for study design, data analysis, and grant and manuscript preparation.  In addition to my work with the Consulting Center, I teach biostatistics to undergraduate and masters students in Public Health.

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Ximin Li, MS

Faculty Research Associate, Johns Hopkins Biostatistics Center
Department of Biostatistics
Johns Hopkins Bloomberg School of Public Health
 

I am a Research Associate in the Department of Biostatistics, Johns Hopkins School of Public Health and a biostatistician in the Johns Hopkins Biostatistics Center. I work with public health and clinical researchers on challenging statistical issues related to the design and statistical analyses of their studies. The specific expertise that I bring to my research projects are data cleaning and data visualization techniques, statistical simulation, statistical analysis using standard (generalized linear models, survival analysis, longitudinal and hierarchical data) as well, more advanced methods, such as meta-analysis, network analysis, false discovery rate and analysis of data from wearable computing devices. I am fluent in the use of R, STATA and SAS (Base certificate) statistical software packages. 

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Bareng Aletta Sanny Nonyane, PhD

Assistant Scientist, Johns Hopkins Biostatistics Center
Department of International Health
Johns Hopkins Bloomberg School of Public Health
 

I am a Statistician in the Department of International Health at the Johns Hopkins Bloomberg School of Public Health. I work on various collaborations within the School and the Johns Hopkins Medical Institutions involving design and analyses of community-based and facility-based public health research studies. Most of my work is in low-resource settings and my main statistical applications include methods for analyses of clustered or longitudinal data, design and analysis of cluster-randomized trials, evaluation of diagnostic tests including for high-dimensional biomarkers. I also work on projects to evaluate programs for addressing barriers to health-care access. The main disease areas of my applications include TB, HIV and adverse neonatal outcomes. I have been a lead statistician on a number of studies involving the above-mentioned  research areas and I am proficient in STATA and R.

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Jing Tian, MS

Faculty Research Associate, Johns Hopkins Biostatistics Center
Department of Biostatistics
Johns Hopkins Bloomberg School of Public Health
 

My primary work is  to provide consulting on biostatistical issues related to the effective collection and interpretation of health information, designing research studies, data management and quality assurance, statistical-analysis and data interpretation, professional and scientific report-writing, grant proposal preparation, sample size estimates and scientific text development. I also provide biostatistical expertise in support of aging-related research in the Center on Aging and Health (COAH) and ophthalmologic research at the Wilmer Eye Institute. 

Data Managers

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Gwendolyn Clemens, MSc

Faculty Research Associate, Johns Hopkins Biostatistics Center
Department of Biostatistics
Johns Hopkins Bloomberg School of Public Health
 

For more than 20 years, I have worked with public health and clinical researchers at all stages of the data collection process, including programming custom data collection systems, pulling datasets from multiple sources, reconfiguring and formatting data for data analysis. My portfolio includes numerous US-based and international projects. I have supported large maternal and child health randomized trials in Nepal. I am also experienced in working with other large datasets, such as Epic/Electronic Medical Record (EMR) data, National Inpatient Sample (NIS) and (NEDS) datasets from the Health Care Cost and Utilization Project (HCUP) sponsored by the Agency for Healthcare Research and Quality, and Medicare utilization data.

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Brian Dyer, BA

Programmer Analyst, Johns Hopkins Biostatistics Center
Department of Biostatistics
Johns Hopkins Bloomberg School of Public Health
 

I am a data management consultant and programmer with the Biostatistics Center. I advise investigators on best practices for collecting data and I work alongside biostatisticians to determine the best database design for analysis that also meets the needs of the investigators. I have experience as a data manager in large clinical trials in Zambia and Bangladesh. I also help manage a REDCap database server that hosts ~1,000 active projects from across the university and hospital. My skill set includes SQL, Javascript, HTML, and PHP. I also have some experience using statistical software packages like R, STATA and SAS to merge and clean datasets and generate basic reports.

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Malathi Ram, PhD

Assistant Scientist, Johns Hopkins Biostatistics Center
Department of International Health (GDEC)
Johns Hopkins Bloomberg School of Public Health
 

I have over 25 years of experience providing data management support for several US-based and international collaborative research studies in all aspects of data management, such as developing study instruments, developing and updating standard operating procedures, developing data entry screens, developing error-detection programs, ensuring data quality, training onsite study personnel in data management activities in compliance with GCP guidelines, preparing datasets for analytical purposes, and performing data analyses.


Staff

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Fallon Bachman

Administrative Manager, Johns Hopkins Biostatistics Center
Department of Biostatistics
Johns Hopkins Bloomberg School of Public Health
 

I am the Administrator for the Department of Biostatistics and oversee the Center's annual budget, finances, policies, and staff and contributes to business strategy.  I have been with the Department since March 2018 and previously I held positions in the School of Medicine's Department of Neurology and Department of Medicine. I received her MBA from University of Maryland, University of College and BA from University of Maryland, Baltimore County.

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Erica Tunstall, MS

Administrative Coordinator, Johns Hopkins Biostatistics Center
Department of Biostatistics
Johns Hopkins Bloomberg School of Public Health
 

Faculty Experts

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Michael Rosenblum, PhD

Associate Professor, Johns Hopkins Biostatistics Center
Department of Biostatistics
Johns Hopkins Bloomberg School of Public Health
 

I am an Associate Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. My research interests include adaptive clinical trial designs, robustness to model misspecification, causal inference, and HIV/AIDS prevention and treatment.
 

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Elizabeth Sugar, PhD

Associate Scientist, Johns Hopkins Biostatistics Center
Department of Biostatistics
Johns Hopkins Bloomberg School of Public Health

I am an Associate Scientist in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. I received my doctoral degree in Statistics from the University of Washington in 2003 and then joined the faculty at the Johns Hopkins University, where I currently hold joint appoints in the Departments of Epidemiology and Oncology in addition to my primary appointment in the Department of Biostatistics.  My research is focused on the design and analysis of clinical trials and longitudinal studies.  This includes translation research and laboratory experiments as well as both early-dose finding and initial efficacy trials (Phase I-2), late stage trials confirmatory trials.   In addition to serving as the lead statistician for single studies, I am currently the Deputy Director of the Coordinating Center of a large multi-site collaboration that performs clinical trials in uveitis as well as being the Principal Statistician for a network of researchers investigating therapies for airways disease sponsored by the American Lung Association.  Since 2008, I have served as a statistical reviewer on Grant Study Sections for the NIH and DOD, and am serving as a member of a number of Data Safety Monitoring Boards for NIH-sponsored trials.  I will serve as Senior Biostatistician for the Coordinating Center and will be responsible for the statistical design, analysis, and monitoring of the randomized study, and directly supervising the Data Analysts involved in the study.

 

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Richard Thompson, PhD

Senior Scientist, Johns Hopkins Biostatistics Center
Department of Biostatistics
Johns Hopkins Bloomberg School of Public Health
 

My field of expertise is in the area of Biostatistics and Data Analysis. I am currently a Senior Scientist in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. I have also served in leadership roles in the Johns Hopkins Biostatistics Center (Associate Director and Executive Director) and the Johns Hopkins Institute for Clinical and Translational Research (Managing Director). During my 19-year tenure as a faculty member at Johns Hopkins, I have co-authored over 100 peer-reviewed papers in several fields of clinical and translational research, including neurology, surgery, pediatrics, cardiology, radiology, gastroenterology and medical genetics. In addition, I am currently the PI of the Data Coordinating Center for the Minimally-Invasive Surgery Plus rt-PA for Intracerebral Hemorrhage Evacuation (MISTIE) study, a phase III, international, multi-site clinical trial testing the effect of a novel, minimally invasive surgical technique for the treatment of hemorrhagic stroke. In this capacity, I provide oversight and guidance on all statistical aspects of this trial, from study design to publication. In addition, I was the lead statistician for the recently completed Clot Lysis: Evaluating Accelerated Resolution of Intraventricular Hemorrhage (CLEAR) phase III trial.