Duke PopHealth DataShare Team

DataShare Faculty

Dr. Brad Hammill
Associate Professor in Population Health Sciences

Dr. Hammill is an Associate Professor in the Department of Population Health Sciences. A biostatistician by training, he has been involved in comparative effectiveness and outcomes research for over 20 years and has provided leadership and expertise to data- and analysis-related projects. Dr. Hammill developed and published a strategy for robust linking that uses indirect identifiers in at least a dozen different registries. He currently oversees the Population Health DataShare team that uses Medicare and NC Medicaid data for clinical and policy research.

Dr. Hammill is also a faculty member at the Duke Clinical Research Institute where he oversees the data core of the PREVENTABLE trial—a pragmatic clinical trial using PCORnet for recruitment and outcomes—and is the principal investigator of the FDA Sentinel Network's Medicare data partner.

Dr. Hammill teaches an Applied Analytics Methods course in the Population Health Sciences’ master’s program, is on the editorial board of the American Heart Journal, and is a statistical reviewer for JAMA Network Open. He received his DrPH in Biostatistics from UNC Chapel Hill.

Dr. Keith Marsolo
Associate Professor in Population Health Sciences

Dr. Marsolo is an Associate Professor in the Department of Population Health Sciences and was previously an Associate Professor in the Division of Biomedical Informatics at Cincinnati Children’s Hospital Medical Center. His research focuses on the infrastructure to support the use of EHRs and other real-world data sources in observational and comparative effectiveness research, along with standards and architectures for multi-center learning health systems

Dr. Marsolo is a co-investigator in the Distributed Research Network Operations Center of the Coordinating Center for the National Patient-Centered Clinical Research Network (PCORnet) where he serves as a faculty lead for activities related to the PCORnet Common Data Model and data curation (quality assessment). He also co-leads the PCORnet Data and Common Linkage Workgroups and is currently serving as a member of the Data Quality Subcommittee of the National Evaluation System for health Technology Coordinating Center (NESTcc). In the past, he co-chaired PCORnet's Data Standards, Security and Network Infrastructure Task Force, and was a member and then chair of their Data Committee. 

Dr. Marsolo received his PhD in Computer Science from The Ohio State University.

DataShare Biostatistics Team

Melissa Greiner
DataShare Biostatistics Team Manager/Principal Biostatistician

Ms. Greiner manages the PopHealth DataShare™ analytics team and is a principal biostatistician with over 16 years experience in academic research and 9 years in software engineering in the telecommunications industry. She serves as a mentor to biostatisticians, programmers, students, fellows and a consultant to faculty investigators.

Her expertise lies in biostatistics, observational and comparative effectiveness research, SAS statistical programming, data science, and data management, using large-scale health insurance claims, electronic health records, clinical registries and cohort study data. For the past 15 years at Duke, Ms. Greiner directed or conducted analytics on numerous clinical, healthcare services and health policy research studies in heart failure, cardiovascular disease, peripheral arterial disease, interventional cardiology, atrial fibrillation, diabetes, stroke, geriatrics, urology, palliative care, orthopedics, cancer, family medicine, and psychiatry. She has been the lead or second author on over 80 research publications including articles in JAMA, Circulation and Archives of Internal Medicine.

Ms. Greiner received a BS in Mathematical Sciences at Nicholls State University and earned her MS in Mathematical Sciences at Clemson University.

Dr. Cassie Ford
Biostatistician III

Dr. Ford is a biostatistician in the Department of Population Health Science with expertise in experimental research design, statistical analysis, and data management. During her pre-doctoral training in psychology and neuroscience, she used neuroimaging methodologies including EEG and fMRI to study visual-spatial attention. While completing a concentration in quantitative psychology, she served as the department’s statistical consultant, helping doctoral students and faculty with study design, analysis and model interpretations. More recently, her research focused on reconciling experimental measures of cognition with those used in clinical prevention and treatment of traumatic brain injury in both athlete and military populations. She also applied novel statistical methods and models to better understand both concussion risk factors, and the neurocognitive consequences following injury. During her post-doctoral work, she acted as the primary statistician and data manager on several multi-site, multi-year studies with multimodal outcomes. Dr. Ford has taught both undergraduate and graduate students research methods and statistics.

Dr. Ford received her MA and PhD in psychology and neuroscience at the University of North Carolina at Chapel Hill and has extensive experience with SAS, R, SQL and Python.

Kelley Jones
Senior Biostatistician

Dr. Jones is a Senior Biostatistician in the Department of Population Health Sciences, where she serves as the analyst for several of the department’s research studies. Prior to joining this team, she worked as a research scientist, leading analyses for various violence-prevention intervention programs. Her expertise is in data and analysis for behavioral, cluster-randomized controlled trials, particularly with vulnerable populations. Dr. Jones obtained a BS in biological sciences and psychology from the University of Pittsburgh, and an MPH and PhD in epidemiology from the University of Pittsburgh Graduate School of Public Health. 

Zhen Li, PhD
Biostatistician III

Dr. Li is a Biostatistician in the PopHealth DataShare analytics team. She is interested in using big data analytics to improve the quality of health care for both patients and healthcare providers. Prior to joining Duke, she worked at the Institute of Trauma Recovery, Department of Anesthesiology at UNC-CH, where she conducted statistical analysis on multidimensional data generated from large-scale longitudinal studies of trauma survivors. She enjoys building statistical modeling including structural equation modeling, multilevel modeling, etc. 

Dr. Li received her BS in biomedical engineering from the Capital University of Medical Sciences in Beijing, China, and her PhD in electrical and computer engineering from Duke University. She also holds a Master of Statistics from NCSU. Her research has been presented at conferences, including the Society for Biological Psychiatry Meeting, the Society of Thermal Medicine Meeting, the World Conference on Interventional Oncology, and the American Association of Physicists in Medicine. 

Dr. Oyomoare Osazuwa-Peters
Biostatistician III

Dr. Osazuwa-Peters completed her PhD in Biology in 2015 at the University of Missouri-St. Louis, with a strong quantitative skillset. Driven by the desire to apply quantitative approaches to understanding and solving health related problems, she transitioned to biomedical research and joined the Division of Biostatistics at Washington University School of Medicine as a postdoctoral research scholar. There, she earned an MSc in Genetic Epidemiology in 2018. Currently, her primary research focuses on discovering novel genetic loci underlying blood pressure traits.

Dr. Osazuwa-Peters has ten years of experience in the statistical analysis of a wide variety of research data (e.g., tropical forest communities, museum specimens, Framingham Heart Study, data extracted from SEER, etc.) along with R and SAS programming skills. She has also been involved in cancer outcomes research with a focus on ethnic minorities.

In addition to publishing epidemiology and health outcomes research and presenting at professional meetings, Dr. Osazuwa-Peters has mentored students and taught graduate level R classes and Fundamentals in Genetic Epidemiology labs.

Lauren Wilson
Senior Biostatistician

Dr. Wilson has over eight years of experience in population health study design and the statistical analysis of health-related datasets focusing on healthcare claims data, survey data, and biomarkers that include gene expression and epigenetic data. Much of her pre- and post-doctoral work was in the areas of cancer and infectious disease.

Prior to joining the Department of Population Health Sciences, she completed a pre-doctoral training fellowship in the National Cancer Institute’s Division of Cancer Epidemiology and Genetics where she conducted epidemiological and statistical analyses related to oncogenic human papillomavirus and cervical cancer. She also concluded an Epidemiology post-doctoral training fellowship at the National Institute of Environmental Health Sciences where she led statistical studies using a range of data to identify lifestyle and environmental risk factors for breast cancer development. Since joining the DPHS in March of 2017, Dr. Wilson has conducted several Medicare based statistical analyses related to breast cancer genetic testing, targeted cancer therapy, atrial fibrillation outcomes and trends in outpatient heart failure management.

Dr. Wilson is trained in SAS, Stata, R, and SQL. She received an MSc and a PhD in Epidemiology from the Johns Hopkins University Bloomberg School of Public Health.

Lindsay Zepel
Biostatistician III

Ms. Zepel is a biostatistician on the PopHealth DataShare analytics team. Her expertise is in the statistical analysis, data management, and SAS programming of health-related datasets—including electronic health records, patient reported data, cohort studies, and clinical registries. Most recently, she worked as a statistical programmer where she created analytical datasets from disparate data sources, performed data validation, and programmed data displays in support of clinical drug trials. Prior to that, she was a biostatistician at a health outcomes research organization doing statistical analyses studying treatment variation and identifying practices associated with the best outcomes for hemodialysis and chronic kidney disease patients. Ms. Zepel has co-authored numerous abstracts presented at international and national scientific meetings and co-authored manuscripts accepted for publication in the American Journal of Kidney Diseases.

Ms. Zepel received her BS in Statistics and Decision Science from Carnegie Mellon University and her MS in Biostatistics from the University of Michigan.

DataShare Programming & Informatics Team

Analyst Programmer II

Mr. Adhikari is an Analyst Programmer on the PopHealth DataShare analytics team and Lead Query Programmer for the FDA Sentinel project. His areas of expertise are in statistical analysis, biostatics, data science, machine learning, and SAS programming for health-related datasets. He enjoys playing with big data and always looks to utilize it for the betterment of living beings.

Prior to joining Duke, he was involved in creating and validating analysis datasets and generating tables, listings, and figures. He also worked as a consultant statistician for imputing missing data on satellite imagery to develop a multi-sensor imagery approach to reduce observation latency and improve surface hydrology modeling to support more efficient management of on-farm reservoirs in the U.S. and to mitigate downstream impacts. During his M.S., he developed an R Shiny app that explores data and compares two different models, then recommends the model with the better fit for predictive analysis.

Mr. Adhikari is trained in SAS, R, and SQL and received his Bachelor’s in Civil Engineering from Tribhuvan University in Nepal, and M.S. in Statistics from NC State University. 

Steven Lippman
Senior Analyst Programmer

Dr. Lippmann is a biostatistician/epidemiologist in the PopHealth DataShare™ analytics team with expertise in Medicare claims data analysis and a range of analytical and technical skills including complex data management and advanced SAS statistical programming. He has applied his analytical training to disparate research areas, including cardiovascular disease, medical devices, informatics, emergency department surveillance, injury epidemiology, and environmental health impact analysis.

Dr. Lippman taught epidemiological methods courses as a graduate teaching assistant for two core epidemiology courses at UNC, is currently a small group instructor at the Duke University Physician’s Assistant program, and trains new analysts on accessing and analyzing data within the DataShare SAS/UNIX environment. Prior to joining Duke, he worked as a UNC graduate research assistant in the Carolina Center for Health Informatics and the UNC Injury Prevention Research Center. Before UNC, he was a research assistant at Harvard School of Public Health’s Injury Control Research Center. 

Dr. Lippman is first author on three manuscripts and four conference abstracts, and co-author on twelve additional manuscripts and numerous conference abstracts, including articles in Circulation, Mayo Clinic Proceedings, JACC Heart Failure, Chest, and Environmental Research. He received his BS in Biology and Society from Cornell University and his PhD in Epidemiology from the Gillings School of Global Public Health at the University of North Carolina.

Michael Stagner
Senior Analyst Programmer

Mr. Stagner has spent the last 16 years working as a contractor providing data management, analytic support, and SAS programming for cancer research studies at the National Cancer Institute particularly the Division of Cancer Epidemiology and Genetics. Prior to that, he was a Research Assistant for the UNC Chapel Hill Department of Biology studying the genetics of plant-microbe interactions in Arabidopsis thaliana. At the Department of Population Health Science he will be managing/processing data and SAS programming for both the DataShare and Sentinel projects. Mr. Stagner has a BS in Biology from UNC Chapel Hill.

DataShare Operations Team

Chantelle Hardy
DataShare Operations Director

Ms. Hardy has thirteen years of experience in academic research, including over seven years providing operational and financial management support for research studies utilizing clinical registry data, electronic health records, and administrative claims data. She served as a project leader on the AHRQ-funded Centers for Education & Research on Therapeutics (CERTs), and the linkage of NHLBI cohort data to Medicare claims data. She has also co-authored 16 publications and created and guided the development of training materials, work instructions, and governance systems to acquire and maintain the security of CMS data.

Ms. Hardy currently works in the Department of Population Health Sciences where she manages a team of operations staff providing research project management support for studies in health services research, health disparities research, and health outcomes research. She also serves as a consultant on CMS data acquisition and budget development to faculty, staff, students, and clinical trainees internal and external to Duke University.  

Ms. Hardy received her BAs in psychology and religious studies, and her MPH from the University of North Carolina at Chapel Hill.

Any Clark, PhD
Senior Clinical Research Coordinator

Dr. Clark is a Senior Clinical Research Coordinator in the Department of Population Health Sciences. She currently coordinates a multifaceted research program investigating racial disparities in cancer survival.

Previously, she managed a large portfolio of clinical research projects in Duke’s Department of Ophthalmology, including multiple gene therapy and device trials. Dr. Clark has an extensive background in research, having spent 17 years running a basic science lab focusing on the cellular mechanisms of kidney autoimmune diseases. Her expertise is in project, staff, and resource management, navigating IRB and IBC applications, and building relationships that create a strong team environment. Dr. Clark received her BS in Biology from the College of William and Mary, and her PhD in Cell and Molecular Biology from Duke University. 

Jennifer Grant
Clinical Research Coordinator

Ms. Thomas is a Clinical Research Coordinator in the Department of Population Health Sciences, where she provides research project management support for studies using administrative claims data. She has extensive experience as a project manager, and previously worked at a non-profit where she facilitated the collection, management, and analysis of data in order to inform and facilitate local and state-level policy change. Additionally, she has experience assisting with proposal development and submission, working on federally-funded large-scale projects, as well as facilitating IRB submissions.

Ms. Thomas received her BA in psychology, and her MPH from the University of North Carolina at Chapel Hill within the Department of Health Behavior.

Dr. Jessica Pritchard
Research Program Leader

Dr. Pritchard is a Research Project Leader within the Department of Population Health Sciences, where she oversees research project operations and finances, and facilitates the acquisition of data assets. Her projects include research using electronic medical record and Medicare data. She was previously a Clinical Research Coordinator in the Department of Pediatrics, Hematology and Oncology Division, at the University of Virginia. There she managed the operational, regulatory, data, and financial activities of several clinical trials and an expanded access study. She has experience providing operational and financial management support to industry-sponsored, federally-funded, and investigator-initiated research studies, and is knowledgeable about conducting research in pediatric populations.

Dr. Pritchard has expertise in technical writing, experimental design, data interpretation, budget development, and project oversight. She earned her PhD from the University of Virginia in cancer and molecular biology.