FEB 14, 2019 6:00 AM PST

Connected Data: Linking Pre-Clinical Data to Commercial Outcomes for Patients Today

C.E. Credits: RACE
Speaker
  • Engagement Manager, Ernst and Young
    Biography
      Wu is an Engagement Manager in Ernst & Young's Advisory Practice focused on life science strategy. He has 10+ years of life sciences industry experience, starting in clinical trials, focusing on carboplatin research across HER2 epithelial growth factor receptor, following with patient services in the southern California market, and now supporting large scale process transformations, strategy, digital enablement and E2E process design in the clinical phase 3 and early commercialization space (first 18 months). He holds a BS in Biochemistry, focus on oncology research, a Master of Public Policy in healthcare/access, and a MBA focused on Strategy, Digital Enablement and Operations.

    Abstract

    As we look towards data to help generate insight and analytics across the entire drug discovery value chain, learn how interconnected data is from the various stages of preclinical, clinical, and commercial while learning how we can streamline data resources, systems and processes to best support analytics across your business. 

    Learning Objectives: 

    1. Best practices to streamline and aggregate processes and sources
    2. Understanding how the structure of data flows between throughout drug discovery and the impacts it has 


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