Clinical and Translational Research Institute
Offering high-quality research support and services across campus and beyond
Philip Turk, M.S., Ph.D.
Dr. Philip Turk is a Professor of Statistics and the Director of the Clinical and Translational Research Institute at Northeast Ohio Medical University (NEOMED).
Prior to this, he was a Professor and Chair in the Department of Data Science in the School of Population Health at the University of Mississippi Medical Center. In healthcare, he also served as an Associate Professor and Director of Data Science and Artificial Intelligence at Atrium Health in Charlotte, North Carolina.
More
Dr. Turk earned his M.S. in Biology at Western Illinois University and his Ph.D. in Statistics at Montana State University and brings over 27 years of direct academic and industry experience to NEOMED.
As a statistical consultant, he has partnered with multidisciplinary faculty on numerous extramurally funded studies that span data science, computational statistics, and translational and outcomes research.
Dr. Turk’s extensive work in the private sector includes supporting the development of medical diagnostics and devices from research to market launch. He has authored or co-authored over 60 peer-reviewed articles.
He is a member of the American Statistical Association, International Statistical Institute, and the R Epidemics Consortium. His primary areas of interest are sampling, clinical trial and experimental design, advanced modeling and forecasting, and methods in Artificial Intelligence.
Jennifer Reneker, PT, Ph.D.
Dr. Jennifer Reneker graduated from Walsh University with her master’s degree in physical therapy and from Kent State University with her Ph.D. in public health epidemiology. Her research focuses on innovative, state-of-the-art preventive, diagnostic, and rehabilitative therapies for neurological conditions. Primarily, these efforts have been directed toward the advancement of evidence-based strategies for concussion.
More
Most recently, she has worked with a multi-disciplinary team to develop an innovative application using immersive virtual reality (VR) and a novel artificial intelligence classifier to provide decision support in the diagnosis and management of concussion. She has experience in a wide range of study designs and Institutional Review Board protocol development, including observational, exploratory, and experimental.
She also is versed in systematic review/ meta-analysis. diagnostic accuracy, psychometric evaluation, and validation and verification methods for clinical measures and devices.
Dr. Reneker has robust experience with teaching and mentoring clinical and research doctoral learners in evidence-based practice and research methods through academic coursework and as the principal investigator of a National Institutes of Health (NIH) funded training program.
Lyn Haselton, Ph.D., M.P.A.
Dr. Lyn Haselton is the Director of Operations for the Clinical and Translational Science Institute at Northeast Ohio Medical University. She has over a decade of experience leading clinical research and education programs across emergency medicine, women’s health, and oncology. Her expertise includes strategic research operations, regulatory compliance, and stakeholder engagement in academic medical settings.
More
Dr. Haselton earned her Ph.D. in Public Health Prevention Science from Kent State University, where her research focused on provider education to reduce stigma toward individuals with opioid use disorder. She also holds a master’s degree in healthcare administration, which supports her work at the intersection of research, policy, and systems-level change. She is committed to advancing implementation science and improving equity in healthcare delivery.
Lesley Chapman Hannah, Ph.D.
Dr. Lesley Chapman Hannah is an Assistant Professor in the College of Graduate Studies. Her work has involved understanding the genetic basis of cancer risk in pediatric and adult populations. She discovered novel classes of germline variants associated with cancer risk by developing bioinformatic workflows and applying machine learning and statistical methods to omics data. At NEOMED, Dr. Chapman Hannah teaches graduate-level courses in data visualization and statistics.
Dalia Sulieman, Ph.D.
Dr. Dalia Sulieman is an Associate Professor of Computer Science at Northeast Ohio Medical University (NEOMED), where she is playing a key role in the development of the pending Health Data Science and AI program. She earned her Ph.D. in Computer Science from Cergy-Pontoise University, France, and her M.S. from Lille University of Science and Technology, France.
Dr. Sulieman’s teaching and research focus on machine learning, deep learning, social network analysis, and applied AI in healthcare, bridging artificial intelligence and medicine through innovative course design and interdisciplinary collaboration.
Kiersten Winter
Kiersten Winter is a Biostatistician II at Northeast Ohio Medical University (NEOMED). She earned her M.S. in Applied Statistics from the Rochester Institute of Technology, where her research focused on statistical modeling and data analysis for clinical and epidemiologic data. She developed a computational workflow for large-scale biological data analysis to identify differentially abundant proteins in proteomics studies.
At NEOMED, Kiersten collaborates with faculty and clinical research teams to design, analyze, and interpret biomedical and health-related studies, providing statistical consultation and data management support.
Contact us
Clinical and Translational Research Institute at NEOMED
CTRI@neomed.edu
Location
Room: F240