My passion lies at the intersection of artificial intelligence and humanity. I come to data science from a quantitative social science background. Currently, I am a Senior Principal at Accenture, working on cutting-edge applications of Artificial Intelligence and leading our Strategic Global Initiative on Responsible Artificial Intelligence. In my job I advise companies on ethical AI practices and work with organizations such as the World Economic Forum, and the IEEE's Wellbeing Metrics Standard for Ethical Artificial Intelligence and Autonomous Systems. In 2017 I was selected as one of the BBC 100 women as a part of #Teamlead tasked with tackling the glass ceiling by creating an app that can teach women to 'lean in' during meetings. In my spare time I serve on the Board of Directors for multiple AI startups and an AI mentor for Katapult Accelerator, an impact tech accelerator in Oslo, Norway, and am a teacher and advisor at a data camp startup that helps refugees learn skills for the digital economy. I'm a Forbes Tech contributing author and have been named by InformationWeek as one of 10 influential AI and machine learning experts to follow on Twitter.
I hold two undergraduate degrees from MIT, a master's degree in Quantitative Methods of the Social Sciences from Columbia University, and a doctorate in political science from the University of California, San Diego.
I have emerged as a thought leader in the San Francisco data science community, with talks and tutorials at Intel Analytics Conference, Open Data Science Conference, Machine Learning Conference, Women Catalysts, PyBay, and Demystifying AI Conference.
In mainstream media, I have been interviewed for the BBC, German public television, and fashion line MM.LaFleur. In 2017, I have had talks at the Global Artificial Intelligence Conference, Southern Data Science Conference, and Strata + Hadoop London.
I have also been a university-level instructor, teaching classes in Research Design, Quantitative Analysis, American Politics, Political Theory, and Statistical Programming in STATA, R and Python.