about the authors

Numa Dhamani is a machine learning leader working at the intersection of technology and society. She is a natural language processing expert with domain expertise in trust, safety, and security. Numa has developed machine learning systems for Fortune 500 companies and social media platforms, as well as for startups and nonprofits. She has advised industry leaders and organizations, served as the principal investigator on the United States Department of Defense’s research programs, and contributed to multiple international peer-reviewed journals. She is also deeply engaged in the technology policy space, supporting think tanks and nonprofits with data and AI governance efforts. Her work on combating online disinformation has been featured in several news media outlets, including the New York Times and the Washington Post. In addition to her industry and research contributions, she has taught AI courses as an adjunct lecturer at the University of Texas at Austin and Georgetown University. Numa is passionate about working toward a safer digital ecosystem, building responsible artificial intelligence, and advocating for transparency and accountability in technology. She holds degrees in physics and chemistry from the University of Texas at Austin.