Rebecca R. Carter is computational statistician with almost 15 years of experience as a clinical research professional.  She earned her doctorate in Epidemiology and Biostatistics from Case Western Reserve University.   

Rebecca specializes in methodological approaches to ultra-high dimensional data of which traditional statistical methods do not readily adapt, known as complex data analysis.  She has also spent the past five years leveraging knowledge discovery techniques to scale, rank, and visualize text without formal organization or structure to generate actionable insight.

Rebecca’s career in clinical research began at University Hospitals in Cleveland where she conducted qualitative survey-based investigations in adolescent addiction psychiatry. Since then she has served as a data scientist at medical, federal, academic, and industrial institutions.

Her work includes data-linkage studies in global pharmacovigilance for orphan drug development and extraction of antibiotic use patterns in nursing homes  from unstructured pharmaceutical claims records. She also designed and implemented epidemiological crowdsourcing surveys with embedded quality control mechanisms that examined public beliefs and misconceptions about critical health issues.  Analysis of these crowdsourced outcomes employed machine learning and text mining approaches.  

Finally, she served as a statistical consultant with partners in women's cancer, orthopedics technology, and biomedical informatics.