Recipient of the NSF CAREER Award and a Senior Member of the ACM. Published several papers on topics such as transparency, education policy, and ranking explanations.
Research Experience
Her research interests include AI ethics and legal compliance, and data management and AI systems. She is also engaged in technology policy and regulation, having served on the New York City Automated Decision Systems Task Force, among other roles.
Education
Received her M.S. and Ph.D. degrees in Computer Science from Columbia University, and a B.S. in Computer Science and in Mathematics & Statistics from the University of Massachusetts at Amherst.
Background
Associate Professor of Computer Science & Engineering, and of Data Science, and Director of R/AI. Julia's goal is to make “Responsible AI” synonymous with “AI”. She works towards this goal by engaging in academic research, education, and technology policy, and by speaking about the benefits and harms of AI to practitioners and members of the public.
Miscellany
Co-author of “Data, Responsibly”, an award-winning comic book series for data science enthusiasts, and “We are AI”, a comic book series for the general audience.