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
GRID - February 19, 2021
Eugenia Giraudy, Paige Maas, Shankar Iyer, Zack Almquist, JW Schneider, Alex Dow
ISCRAM - May 19, 2019
Paige Maas, Shankar Iyer, Andreas Gros, Wonhee Park, Laura McGorman, Chaya Nayak, Alex Dow
CSCW 2018 - November 3, 2018
Danaë Metaxa-Kakavouli, Paige Maas, Daniel P. Aldrich