Session Chair Profile

Ph.D., Director, Informatics, Parker Institute for Cancer Immunotherapy

The Parker Institute is a nonprofit dedicated to accelerating the development of immune-based cancer therapies. At the Parker Institute, Lacey leads a team focused on analyzing clinical and translational data to answer questions like “Which patients respond to therapy, and why?”. In particular, her team focuses on building world-class software to organize and analyze both clinical data and molecular data from over 15 translational assays. The Informatics team uses this software to gain insights that directly translate to improvements in Parker’s clinical and research programs. Lacey is an alum of MIT and Stanford, and has a broad background in numerous areas of biological and healthcare data analysis, including policy-informing analytics on claims data for payers and providers, building machine learning models to predict patient actions or drug responses, and gleaning insights from high dimensional imaging data for basic science research.

Session Abstract – PMWC 2020 Silicon Valley

Session Synopsis: Artificial intelligence holds the promise to revolutionize health care and directly impact the clinical trials process via expediting the recruitment of eligible clinical trial patients. The systems currently developed with the use of AI/ML enable higher patient enrollment rates and better trial assignment, contribute towards reducing the cost of recruitment via additional/more efficient medical tests, and facilitate analysis and integration of operational data from historical cases. This session focuses on various applications of AI in clinical trials design and patient selection.

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