Danielle Dean

Danielle Dean is a senior data scientist lead at Microsoft in the Algorithms and Data Science group. She leads a team of data scientists and engineers on endto- end analytics projects that use Microsoft’s Cortana Intelligence Suite for applications ranging from automating the ingestion of data to analyzing and implementing algorithms, creating web services of these implementations, and integrating them into customer solutions or building end-user dashboards and visualizations. Danielle holds a Ph.D. in quantitative psychology from the University of North Carolina at Chapel Hill, where she studied the application of multilevel event history models to understand the timing and processes leading to events between dyads within social networks.