The Shape of Big Data Can Impact Cancer Outcomes

Pek Lum (Ayasdi)
Data and Analytics
Location: Grand Ballroom B

Gleaning insights from massive and complex datasets from clinical trials can be challenging. You usually have to know the right questions to ask before you can begin to find answers. With Ayasdi’s Iris solution, you can visualize entire datasets and unearth powerful insights in seconds—answering the questions that you didn’t know to ask. Using Topological Data Analysis (TDA) that has been in development for over 15 years at Stanford and funded by DARPA and the NSF, Iris can instantly, and holistically, visualize data from cancer cells and clinical trials to provide important clues about the most effective forms of treatment to produce the best patient outcomes.

Photo of Pek Lum

Pek Lum

Ayasdi

Pek Lum joined Ayasdi in September 2010 to start and lead the Life Sciences sector where she is developing the vision and business strategy. Prior to joining Ayasdi, she spent 10 years at Rosetta Inpharmatics/ Merck & Co. where her research in systems biology has contributed to the discoveries of new targets, biomarkers and the understanding of complex diseases. Her work has been widely published in leading scientific journals. She received her Ph.D. from the University of Washington.

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