Dr. Danielle Dean, Senior Data Scientist Lead at Microsoft in the Algorithms and Data Science Group within the Cloud and Enterprise Division, to find out about her experience at Microsoft and get her take on the upward trajectory of AI and deep learning that we’re seeing in the industry today. She currently leads an international team of data scientists and engineers to build predictive analytics and machine learning solutions for external companies utilizing the Cortana Intelligence Suite. Before working at Microsoft, Danielle was a data scientist at Nokia, where she produced business value and insights from big data, through data mining & statistical modeling on data-driven projects that impacted a range of businesses, products and initiatives. Danielle completed her Ph.D. in quantitative psychology with a concentration in biostatistics at the University of North Carolina at Chapel Hill in 2015. She obtained her Masters in quantitative psychology in 2012, and graduated from the University of Massachusetts Amherst in 2010 with two Bachelor’s Degrees, in Psychology and BDIC in Organizational Behavior & Statistical Analysis with a minor in Mathematics/Statistics.