Ewa Dominowska is a Director at Google. Prior to her role at Google, Ms. Dominowska worked at Facebook where she managed teams focused on Science, Optimization and Identity Modeling for Online Advertising. Before coming to Facebook she designed a large scale predictive analytics platform for mobile devices as a Chief Architect at Medio Systems (acquired by Nokia). Prior to her start-up days, Ewa spent 10 years in various roles at Microsoft. At Microsoft, Ewa joined the Online Services Division to help found adCenter (now Bing Ads). Her work focused on real-time ad ranking, targeting, content analysis, click prediction, and pricing models. As part of the small yet dynamic original team, Ewa designed, architected, and built the alpha version of the contextual advertising product. In 2007, Ewa founded the Open Platform Research and Development team. As part of this effort, she organized the Beyond Search academic program, TROA WWW Workshop, and IRA SIGIR Workshop, resulting in a number of very successful collaborations between academia and industry. During her tenure in the Online Services Division, Ewa spent a year serving as the TA for Satya Nadella, where she advised and assisted in operation and planning for the division. The role encompassed architecture, technology, large-scale data services, and cross-organizational efficiency. Ewa was responsible for the intellectual property process, long-term strategy, and prioritization for the division. In 2010 Ewa started the adCenter Marketplace team responsible for all aspects of the advertising marketplace health and tuning. She architected and built a petabyte-scale distributed data and analytics platform and created a suite of marketplace and experimentation tools. Ewa earned her degrees in Electrical Engineering/Computer Science and Mathematics from MIT. Her research focused on machine learning, natural language processing, and predictive, context aware systems applied in the medical field. Ewa authored several papers and dozens of patents in the areas of online advertising, search, pricing models, predictive algorithms and user interaction.