Staff Profiles

Biostatistics Core Profiles

Richard Barfield, PhDRichard Barfield, PhD Biostatistics
Biostatistician III
Email: richard.barfield@duke.edu
Phone: 919 613-6157

Richard received his PhD from Harvard University in 2017 and his MPH from Emory University in 2012. He is currently working with researchers within the Immunology Center. His past research was working with DNA methylation microarray data and methods development for summary Mendelian Randomization studies. His primary research interests are mediation analysis, Mendelian Randomization and large-scale omics analyses.

Amanda Brucker, PhDAmanda Brucker, PhD Statistics
Biostatistician III
Email: amanda.brucker@duke.edu
Phone: 240 543-7073

Amanda earned her PhD in Statistics from North Carolina State University in 2020 with research in association testing and variable selection methods for rare genetic variant analysis. She previously worked at the Duke Clinical Research Institute primarily studying CVD populations using survival analysis, regression, and predictive modeling methods. Her research interests include statistical genetics and electronic health records-based research. She collaborates with researchers in the Division of Pulmonary, Allergy, and Critical Care Medicine in the Department of Medicine and the Population Health Management Office. 

Clemontina (Tina) A. Davenport, MS Applied Mathematics, MSTAT, PhD Statistics
Senior Biostatistician, BIOSTAT 702 Course Instructor
Email: tina.davenport@duke.edu
Phone: 919 684-0332

Tina mostly collaborates with researchers and nephrologists in the Division of General Internal Medicine investigating factors that may explain racial disparities in poor health outcomes, primarily in kidney disease, but also in diabetes, hypertension, cardiovascular disease, and others. She currently works on a variety of RCT/RPTs and retrospective observational studies and serves as key personnel on several grants. She teaches BIOSTAT 702, a first-year class for students in the B&B master’s program, and works to develop online training materials for junior researchers that can be paired with in person workshops. Tina is passionate about teaching and mentoring, particularly those from socially disadvantaged backgrounds.

John Gallis, ScM Biostatistics Biostatistician IIJohn Gallis, ScM Biostatistics
Biostatistician III
Email: john.gallis@duke.edu
Phone 919 668-4602

John currently collaborates with researchers and methodologists at the Duke Global Health Institute and the Duke Department of Biostatistics & Bioinformatics.  His varied research experience includes design and analysis of weight loss-related randomized controlled trials (RCTs), design and analysis of cluster randomized trials (CRTs), and implementation of the multiphase optimization strategy (MOST).  Recently, he has primarily worked with researchers examining the effects of interventions on maternal mental health and child health and development.  His research interests include the design of CRTs and analysis methods for clustered data, among many other interests.

Alexander Gordee, MA Statistics
Biostatistician II
Email: alexander.gordee@duke.edu
Phone: 919 668-5895

Alex earned his MA in Statistics from the University of California – Santa Barbara. He currently collaborates with clinicians and researchers in the Department of Surgery and the Division of Emergency Medicine within the Department of Surgery. His statistical interests include regression modeling, the analysis of longitudinal and correlated data, and statistical learning algorithms. 

Lauren Howard, MB Biostatistics Biostatistician IILauren Howard, MB Biostatistics
Biostatistician III
Email: Lauren.howard@duke.edu
Phone: 919 668-5893

Lauren collaborates with different investigators in the Duke Cancer Institute. She has experience with data management, data analysis, and preparation and editing of manuscripts. Some of her past projects have involved time-varying covariates, competing risks, and repeated measures. She is interested in methods for handling bias and confounding in observational research.  

Hui-Jie LeePhD Statistics
Senior Biostatistician
Email: hui-jie.lee@duke.edu
Phone: 919 668-2453

Hui-Jie earned her Ph.D in Statistics from North Carolina State University. She has a mixed background with statistics, life science and she made an extensive use of Java programming language for her Ph.D dissertation.  

She currently collaborates with researchers, clinicians and residents in Department of Surgery, Department of Neurosurgery, and Department of Pharmacy in Duke. She has professional experience with Marketscan databases and national databases such as National Inpatient Sample (NIS) and Network for Organ Sharing (UNOS), machine learning, propensity score modeling, survival analysis, and regression models.

Reginald (Gino) Lerebours, MA Biostatistics
Biostatistician II
Email: reginald.lerebours@duke.edu
919 668-9333

Gino earned his MA in biostatistics from Harvard University and currently collaborates with researchers, residents, and clinicians in the Department of Surgery and the Department of Radiology. His main research interests and experience are in regression modeling, utilizing Markov chain Monte Carlo methods in Bayesian settings, and promoting statistical education and diversity.

Beiyu Liu, MS Statistics Biostatistician IIBeiyu Liu, PhD Biochemistry and Molecular Biology, MS Statistics
Biostatistician II
Email: beiyu.liu@duke.edu
919 684-8977

Beiyu currently collaborates with clinicians, residents and fellows in the Department of Surgery, Department of Dermatology, and Pharmacy. He has extensive biomedical research experience and his specific areas of interest include regression analysis, predictive modeling, survival analysis, and observational studies.
 

Alec McConnellAlec McConnell, MS Biostatistics
Biostatistician II
Email: alec.mcconnell@duke.edu
919 668-9348

Alec earned his MS in Biostatistics from the Gillings School of Global Public Health at the University of North Carolina - Chapel Hill. He currently collaborates with residents, researchers, and clinicians in the Department of Neurology as well as the Duke Transplant Center. His research interests include longitudinal analysis and survival analysis.

Samantha Morrison, PhD Biostatistics
Biostatistician III
Email: samantha.morrison@duke.edu
Phone: 978 430-7482

Samantha earned her PhD in Biostatistics from Brown University.  She collaborates with clinicians and researchers in the Department of Radiology and in the Division of Pulmonary, Allergy, and Critical Care Medicine in the Department of Medicine.  Her research focuses on development and evaluation of prediction models in the presence of incomplete outcome data.  Her areas of interest include machine learning methods and survival analysis.

Sarah MortonSarah Morton, MB Biostatistics
Biostatistician II
Email: sarah.n.morton@duke.edu
Phone: 919 684-3924

Sarah earned her MB in Biostatistics from Duke University. She collaborates with clinicians and researchers from the Division of General Internal Medicine in the department studying end-stage kidney disease. Her statistical interests include longitudinal analysis and statistical genetics.

Alice Parish, MSPH Biostatistics
Biostatistician II
Email: alice.parish@duke.edu
919 681-3457

Alice earned her master’s degree from Rollins School of Public Health at Emory University.  She collaborates with researchers and clinicians in DICON and DASON to assess infectious disease and antimicrobial stewardship using multilevel designs and time-series analyses.  Additionally, Alice collaborates with the Department of Gastroenterology on a variety of projects focused on NAFLD, chronic liver diseases, and esophageal function.  Alice also collaborates the Duke Heart Center, on observational studies and a clinical trial.   Alice has previous experience in health outcomes research, disparities in cancer incidence, and mobile health technology.

Sarah Peskoe, PhD Biostatistics
Senior Biostatistician
Email: sarah.peskoe@duke.edu
919 671-3388

Sarah earned her PhD in Biostatistics from Harvard University. She collaborates with researchers, clinicians, and fellows in the Department of Surgery and the General Internal Medicine division of the Department of Medicine. Her research experience involves correcting for biases arising in epidemiologic research, primarily as a result of measurement error and selection. Sarah's main areas of interest include biomarker evaluation, electronic health records-based research, risk prediction, and survival analysis.  

Emily Poehlein, MB Biostatistics
Biostatistician II
Email: Emily.poehlein@duke.edu
Phone: 413 387-5666

Emily earned her MB in Biostatistics from Duke University. She is currently collaborating with researchers and clinicians in the Department of Orthopaedic surgery and providing quantitative/qualitative support for trials at The Marcus Center for Cellular Cures (MC3) at Duke University School of Medicine. Her statistical interests include clinical trial design and survival analysis.
 

Alyssa Platt, MA Applied Economics Biostatistician IIAlyssa PlattMA Applied Economics
Biostatistician III
Email: Alyssa.platt@duke.edu 
Phone 919 668-4045 (DGHI)
Phone 919 684-1746 (Hock)

Alyssa has ongoing collaborations with faculty from Duke Global Health Institute and Division of General Internal Medicine. Her professional experience involves analysis and evaluation of health policy in areas of obesity, physical activity and nutrition, health care access, end stage renal disease, and infectious disease. She is experienced in longitudinal and cross-sectional analysis, analysis of cluster randomized trials, spatial analysis, and study design.  She has a range of experience using data from national surveys to state and local data as well as original data collected by investigators. Her research interests include areas of health economics, health care access, and spatial analysis.

Gina-Maria PomannPhD Statistics
Statistical Scientist, Director of BERD Methods Core
Email: Gina-maria.pomann@duke.edu
Phone: 919 684-3135

Gina-Maria Pomann is Statistical Research Scientist and the Director of the Duke Biostatistics, Epidemiology and Research Design (BERD) Methods Core. The mission of the Core is to work with the interdisciplinary network of clinical investigators conducting research at Duke by providing expertise in study design, implementation of statistical methodology, and interpretation of results. The Core also serves as the primary coordinating center to connect investigators with the appropriate methodologists/quantitative experts to foster and promote reproducible research in an effort-based collaborative model.  To meet the increased demand for biostatistical collaboration in medical research, Dr. Pomann develops quantitative collaborative teams specifically tailored to medical research units across the school of medicine. Dr. Pomann works to improve the collaborative infrastructure and hire staff necessary to meet the evolving collaborative needs. Since 2015, the Core has grown from 6 staff biostatisticians to over 20 staff biostatisticians who work on interdisciplinary teams, led by over 15 quantitative faculty, to conduct research throughout the school of medicine. 

Dr. Pomann’s current research focuses on the development of models for quantitative units in academic medical centers, development of collaboration teams with quantitative and qualitative expertise, and methods for training the clinical and translational science collaboration workforce. Dr. Pomann also has broad statistical expertise in experimental design, image analysis, functional data, case-control sampling, and real-world evidence methods. She has led initiatives to develop collaborative research, medical investigator training programs, biostatistician staff training programs, a biostatistics training and internship program,  and seminar series.

Tyler Schappe, MSTyler Schappe, MS Statistics
Biostatistician II
Email: tyler.schappe@duke.edu
608 692-0974

Tyler earned his first MS in Botany & Plant Pathology with a concentration in molecular biology from Oregon State University and his second MS in Statistics with a concentration in statistical genetics from North Carolina State University. He currently collaborates with researchers in the Abdominal Transplant Division of the Department of Surgery and in the Department of Orthopaedic Surgery. His main interests include hierarchical linear models, large "omics" datasets, Bayesian inference and Stan, machine learning, and spatial statistics.

Ryan SimmonsRyan SimmonsMB Biostatistics
Biostatistician II
Email: ryan.simmons@duke.edu
Phone: 919 681-2567

Ryan currently collaborates with researchers from the Duke Global Health Institute and Duke Translational Medicine Institute. His has varied experience including the drafting of statistical analysis plans, power and sample size analysis, and various analytic and modeling techniques for observational, longitudinal, and cluster randomized experimental designs. His research interests include longitudinal analysis and Markov modeling.

Samantha Thomas, MB Biostatistics
Senior Biostatistician
Email: samantha.thomas@dm.duke.edu
Phone: 919 668-5892

Samantha collaborates with providers, fellows, residents, and medical students within the Duke Cancer Institute. She primarily works in breast cancer, endocrine cancer, and pediatric cancer research. Her professional experience involves study design, analysis, and reporting of clinical trials and observational studies. Her research interests include methodologies for modeling non-linear associations, decision-tree analysis, health outcomes research, and health disparities research. In addition to her collaborative work, Samantha is the coordinator of the Biostatistics Core Training and Internship Program (BCTIP), an immersive internship program for Duke Masters of Biostatistics students that gives selected students real experience as a biostatistician in a collaboration setting.

Tracy Truong, MB Biostatistics
Biostatistician III
Email: tracy.truong@duke.edu
Phone: 919 668-5897

Tracy currently collaborates with clinicians, residents and fellows in the Department of Surgery, and Department of Obstetrics and Gynecology. Her professional experience includes data management, observational studies, genome-wide association studies, with an emphasis on reproducibility research utilizing Sweave. Her research interests are in high dimensional data analysis, statistical genetics, and observational data.

Jeremy Weber, MB Biostatistics Biostatistician IIJeremy Weber, MB Biostatistics
Biostatistician II
Email: jeremy.m.weber@duke.edu
Phone: 919 681-4561

Jeremy collaborates with clinicians, residents, and fellows in the Division of Pulmonary, Allergy, and Critical Care Medicine in the Department of Medicine, and the Department of Obstetrics and Gynecology. His research experience involves multilevel modeling, lung transplantation studies, and working with national databases. His statistical interests include longitudinal analysis, observational studies, and survival analysis. 

 Jonathan Wilson, MS Statistics Biostatistician IIJonathan Wilson, MS Statistics
Biostatistician II
Email: jonathan.wilson@duke.edu
919 681-0620

Jonathan earned his master’s degree in statistics from North Carolina State University. He currently collaborates with researchers and clinicians from the Division of General Internal Medicine in the Department of Medicine studying end-stage kidney disease. His statistical interests include survival analysis, observational data  and working with large datasets. 

Chun (Anna) Xu, MB Biostatistics 
Biostatistician II
Email: cx41@duke.edu
Phone: 217 693-9683

Anna Xu earned her Master of Biostatistics from Duke University. Currently, she collaborates with researchers from Duke Transplant Center. Her statistical interests include longitudinal analysis, machine learning and electronic health records-based research.

 

Zidanyue (Lexie) Yang, MB Biostatistics Biostatistician IIZidanyue (Lexie) Yang, MB Biostatistics
Biostatistician II 
Email: Lexie.yang@duke.edu
Phone 919 668-7523

Lexie earned her master’s degree in Biostatistics from Duke University. She collaborates with doctors, residents, and fellows in the Department of Neurosurgery and Department of Pharmacy. She has strong experience in data management with large databases, such as MarketScan and HCUP. Her statistical interests include longitudinal analysis, predictive modeling, survival analysis and clinical trial design.

Congwen ZhaoCongwen Zhao, MB Biostatistics
Biostatistician II
Email: congwen.zhao@duke.edu
Phone: 919 308-3726

Wen’s research experience includes data management in national databases, longitudinal data analyses, and mix-effects modeling. Her statistical interests include machine learning, survival analysis and predictive modeling. Currently, her collaborative projects involve extensive utilization of Duke’s electronic health records to explore a variety of research questions from examining the effects of environmental exposures on asthma exacerbations in a pediatric population to providing quality improvement metrics on cardiovascular patients. 

 

Yunji ZhouYunji Zhou, MB Biostatistics
Biostatistician II
Email: yunji.zhou@duke.edu
Phone: 919 668-0104

Yunji earned his master’s degree in Biostatistics from Duke University. He has strong experience in propensity score weighting methods for treatment effect discovery. Currently, he collaborates with researchers at Duke Global Health Institute to assess interventions on maternal mental health and innovative strategies to improve rational use of first-line antimalarials in sub-Saharan Africa using cluster randomized trials. His statistical interests include longitudinal analysis and observational studies.