Amrik Shah brings 20+ years of experience in strategic design and analysis of clinical trials and management/coordination with specialized CROs in areas of statistics and programming, including machine learning/AI. He possesses experience in drug development that spans discovery through phase 3 clinical trials, with time spent at various big and small pharma companies. His recent experiences include consultation for various biotechs in areas of liver disease, cell therapy, and rare diseases, such as ALS and PSC.
Amrik is passionate about leveraging the intersection of statistics, logic, and analytics as applied to real-world data to develop robust and refined algorithmic tools for identifying, managing, and treating patients. Beyond that, his areas of interest include sequential designs, hypothesis testing with multiplicity control, longitudinal/mixed models including PK/PD, and small sample inference. He holds a B.E. from Punjab Engineering College, India, and a doctorate (ScD) in Biostatistics from Harvard University.