Paige Maas

Data Scientist - Core Data Science

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

GRID - February 19, 2021

Measuring Long-Term Displacement Using Facebook Data

Eugenia Giraudy, Paige Maas, Shankar Iyer, Zack Almquist, JW Schneider, Alex Dow

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