Meredith is the Chief Technical Advisor at the UC Berkeley Division of Computing, Data Science, and Society. Her work focuses on technical foundations, applications, and implications of computing, information, and data spanning multidisciplinary areas such as health and medicine, climate and sustainability, and human welfare and social justice. Under the Obama Administration, she led the White House Innovation for Disaster Response & Recovery Initiative and guided strategic data science research programs in graph analytics, risk assessment, machine learning, data visualization, and distributed computing. Dr. Lee was previously the Founding Executive Director of the National Science Foundation (NSF) West Big Data Innovation Hub, where she and her team launched public-private partnerships including regional, national, and global programs with the U.S. Department of Transportation, U.S. Department of Homeland Security, U.S. Census Bureau, and networks in academia, industry, and state/local government. Earlier in her career, she served as a AAAS Science & Technology Policy Fellow at the Homeland Security Advanced Research Projects Agency, contributing to interagency initiatives through data.gov, challenge.gov, citizenscience.gov, the Office of Science and Technology Policy, and the National Science and Technology Council.
Meredith holds a B.S., M.S., and Ph.D. in Electrical Engineering from Stanford University and was a postdoctoral fellow at the Stanford Canary Center for Cancer Early Detection. She has taught Human-Centered Design and Innovation at Stanford and in government, and continues to advise organizations with efforts in technology, data science, and multi-stakeholder collaboration. In addition to serving on the Board of Directors for the California Water Data Consortium, Dr. Lee sits on the Advisory Committees for NASA DIRECT-STEM and the Center for International Blood and Marrow Transplant Research Data Transformation Initiative, as well as the National Leadership Council for the Society for Science and the Public. Her work has been featured by whitehouse.gov, ArsTechnica, The Washington Post, Forbes, WIRED, Harvard Data Science Review, Bloomberg, and Nature.
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