Engineering leader experienced in building responsible AI and data technologies that put people first.
Nadia Fawaz is an engineering leader in responsible technology, with expertise in AI, ML fairness and data privacy and their application to search and recommender systems. She has experience working with cross-functional teams to deliver technological solutions from concept to market in products used globally by hundreds of millions of people. She has worked in production engineering teams in the Tech Industry in Silicon Valley as well as research teams in industry and academia in collaboration between the U.S., Europe and Asia.
She was a Senior Staff Applied Scientist at Pinterest where she founded and led the Inclusive AI team, building inclusive technology such as the Skin Tone Ranges and Hair Pattern Search. She was named one of the 100 Brilliant Women in AI Ethics 2021, her work on Inclusive AI was recognized in the AI and Data category on Fast Company’s 2022 World Changing Ideas list and was featured in many news outlets. Earlier, she was a Staff Software Engineer in ML and the Tech Lead for the job recommendation AI team at LinkedIn, a Principal Research Scientist at Technicolor Research, and a postdoctoral researcher at the Massachusetts Institute of Technology, Research Laboratory of Electronics.
She received her Ph.D. and her Diplome d’ingenieur (M.Sc.) in Electrical Engineering from Telecom ParisTech and EURECOM, France. She is a member of the IEEE and the ACM. In her free time, she enjoys baking French pastry with her 3 children and finding peace in libraries and nature.