Sequential sampling for efficient clinical trials with biomarker covariates
In 2016 I finished a Bachelor’s degree in applied mathematics and physics from the New Jersey Institute of Technology. During my studies I was involved in a project to develop efficient Monte Carlo simulation methods to assess the safety of nuclear power plants. In September of 2016 I started my doctoral studies in the Technology and Operations Management department at INSEAD under the Marie Sklodowska-Curie scholarship. My project’s objective is to develop efficient clinical trial designs that make use of patient data to identify the best treatment as a function of patient covariates/biomarkers.