Virginia Fonner, Ph.D., M.P.H.
I conduct public health and implementation science research related to HIV prevention and treatment, both domestically and internationally. Potential research opportunities for students include helping to conduct and/or analyze qualitative data (from interviews and focus groups) and quantitative data (from behavioral surveys and clinic records) related to patient and provider experiences.
Emily Gottfried, Ph.D.
The MUSC Community and Public Safety Psychiatry Division (CPSPD) Forensic Psychiatry Program conducts research looking at characteristics of individuals charged with or convicted of a sexual offense, characteristics of forensic evaluations, and personality pathology/traits.
More information about our lab can be found here on our web site and information about previous research studies can be found here and on my faculty directory listing.
Erin McCLure, Ph.D.
I am a behavioral psychologist whose research is focused on tobacco cessation strategies among adults and adolescents. I currently have funding from the National Institutes of Health to study novel medications for smoking cessation and to study the influence cannabis co-use on tobacco cessation.
More information about my work can be found on my faculty directory page.
My publications are listed on PubMed
You can learn more about the Project Quit initiative at MUSC here.
Lisa McTeague, Ph.D.
Students rotating with Dr. McTeague will assist with studies of non-invasive brain stimulation for improving regulation of cognition and emotion among patients with neuropsychiatric (PTSD, depression) and neurodegenerative (stroke, dementia) disorders as well as healthy participants. More specifically, the individual will gain experience with transcranial magnetic stimulation, EEG/ERPs, physiological measures (startle reflex, autonomic) and MRI and tasks of emotional and cognitive performance.
Stephane Meystre, M.D., Ph.D.
Dr. Meystre's lab focuses on creating and studying methods and tools to support unstructured clinical data reuse. Reuse of clinical data is essential to fulfill the promises for high quality healthcare, improved healthcare management, and effective clinical research. Accurate and detailed clinical information, as found in patient Electronic Health Records (EHR), rather than existing but often biased and insufficiently detailed diagnostic and procedure codes assigned for reimbursement and administrative purposes only are needed for effective clinical research and high quality and efficient healthcare. We use Natural Language Processing (NLP) and other Artificial Intelligence methods to extract this clinical information from EHRs, and to automatically de-identify clinical notes and protect patient privacy, also providing user-friendly and easy to use tools for researchers and clinicians to browse, query, visualize, and obtain clinical data. Dr. Stephane Meystre, MD, PhD, FACMI is SmartState chair in Translational Biomedical Informatics and director of the MUSC NLP core.
Meystre lab website.