I am a data scientist on the Core Data Science team at Facebook. I enjoy applying statistical methodology to real world questions and prior to starting at Facebook I primarily focused on health applications. I earned my Ph.D. in Biostatistics from Johns Hopkins University and completed a postdoc at the National Cancer Institute. My research focused on model calibration and absolute risk prediction methodology applied to breast cancer and public health. For my undergrad at Pomona College, I majored in Mathematics with minors in Biology and Psychology. At Facebook, I am interested in understanding user experience and interactions, and building tools to make that experience better.
Interests
Applied Statistics, Data Visualization, Modeling and Prediction, Mathematical Epidemiology
Related Links
Latest Publications
ISCRAM - May 19, 2019
Facebook Disaster Maps: Aggregate Insights for Crisis Response & Recovery
Paige Maas, Shankar Iyer, Andreas Gros, Wonhee Park, Laura McGorman, Chaya Nayak, Alex Dow
CSCW 2018 - November 3, 2018
How Social Ties Influence Hurricane Evacuation Behavior
Danaë Metaxa-Kakavouli, Paige Maas, Daniel P. Aldrich
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