Speaker Profile
Biography
A former neuroscience researcher, Andrea’s portfolio career has included leadership assignments at the intersection of science, technology and business development. She has built and led informatics and scientific teams across the entire pharmaceutical value chain. Most recently, Andrea focused on building the Pharma Artificial Intelligence market at NVIDIA. Through this experience she has travelled the world advising biopharmaceutical, academics, research institutes, and startups in the potential of machine learning and artificial intelligence across every discipline in our industry. Prior to her role at NVIDIA, Andrea held leadership positions at the Broad Institute of Harvard and MIT, Amgen, and Roche. In the last three years, Andrea’s work at Eli Lilly & Company has focused around empowering the LRL Research organization with greater computational, analytics-intense experimentation to raise the innovation of our scientists.
Session Abstract – PMWC 2022 Silicon Valley
The future of drug development is likely to be deeply impacted by machine learning in a multitude of ways. This panel will reflect on the past, present, and future of what has made drug discovery flourish and fail; with a special focus on the technology driving cutting-edge precision medicine.