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 Manager at Accenture, working on cutting-edge applications of Artificial Intelligence. I serve on the Board of Directors for three AI startups and am a member of the IEEE's Wellbeing Metrics Standard for Ethical Artificial Intelligence and Autonomous Systems working group.

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've 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.

Hear more about my background and my role at Metis.