Keshab Subedi, MS, MSc

Biostatistician, DE-CTR

Mr. Subedi is a biostatistician with expertise in wide arrays of statistical and machine learning methodologies including longitudinal data analysis, survival analysis, categorical data analysis, and data mining techniques.   In his current role as a biostatistician in the Biostatistics Epidemiology Research Design (BERD) core of Delaware ACCEL-Center for Translational Research (CTR), he works with clinical and biomedical researchers from the Christiana Care Health System and other Delaware partnering institutions in all aspects of clinical and translational research such of research design, statistical analysis, and data interpretation.

Mr. Subedi is a self-learner with a deep appreciation for the unique and non-traditional learning environment that the internet has created. He is interested in learning and applying Machine Learning and Informatics tools in healthcare/clinical research. Before joining VI, he worked at North Dakota State University as a research technician, and at World Vision International as a technical coordinator. He holds MS (Biostatistics) from Drexel University, M.Sc. from North Dakota State University, and BS from Tribhuvan University.