Feifang Hu is Chair and Professor of Statistics at George Washington University. He received his PhD from the University of British Columbia and previously held faculty positions at the National University of Singapore and the University of Virginia. A Fellow of both the American Statistical Association and the Institute of Mathematical Statistics, his research focuses on innovative clinical trial designs, AI-powered trial implementation, and A/B testing. He has published over 100 articles, co-authered a book on response-adaptive randomization, and frequently serves as a consultant and DSMB member for clinical trials.