Bevan Emma Huang, Ph.D., is the Director of Data Sciences External Innovation at the California Innovation Center, where she sources, evaluates, and facilitates external partnering opportunities in data sciences across all sectors of Johnson & Johnson. She is an experienced data scientist with years of research leadership in integrating diverse data modalities to generate efficiencies and novel insights.
Emma serves as the J&J Program Co-Director for the Innovate For Health Data Science Fellowship Program, an initiative established by UCSF, UC Berkeley, and J&J to develop leaders who will transform healthcare by applying data science to solve high-impact unmet needs. Formerly with Janssen R&D, she led a multidisciplinary team, developing and supporting precision medicine initiatives through integrating multiple data modalities such as omics, sensors, and electronic health records for risk prediction, target, and biomarker discovery. Prior to joining J&J, Emma held positions at the Commonwealth Scientific and Industrial Research Organization (CSIRO) advancing precision agriculture approaches.
Emma received her B.S. in Mathematics from the California Institute of Technology, her Ph.D. in Biostatistics from the University of North Carolina at Chapel Hill, and completed post-doctoral studies at CSIRO in Brisbane, Australia.