Paige Maas

Data Scientist

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.


Applied Statistics, Data Visualization, Modeling and Prediction, Mathematical Epidemiology

Related Links


Latest Publications

Facebook Disaster Maps: Aggregate Insights for Crisis Response & Recovery

Paige Maas, Shankar Iyer, Andreas Gros, Wonhee Park, Laura McGorman, Chaya Nayak, Alex Dow

ISCRAM - May 19, 2019

How Social Ties Influence Hurricane Evacuation Behavior

Danaë Metaxa-Kakavouli, Paige Maas, Daniel P. Aldrich

CSCW 2018 - November 3, 2018