As a biostatistician holding a Doctorate in Biostatistics, I possess a strong background in advanced statistical methods for analyzing big data. My doctoral thesis centered on the creation of a novel kernel clustering method for utilization with a prescribed database.
I have extensive experience in all facets of clinical trial design and implementation, including the determination of sampling methods, calculation of sample size, assessment and quality control of data gathering, statistical analysis, visualization, and report generation. In addition to my research expertise, I have also instructed undergraduate courses in the field of biostatistics.
My proficiency extends to a variety of software programs including SAS, R, Stata, PASS (Power Analysis and Sample Size), and SQL.