Juliana Freire

Juliana Freire is an Institute Professor at NYU Tandon School of Engineering and Professor of Computer Science and Data Science. She co-directs the VIDA Center and leads research in data science, provenance management, and computational reproducibility.

Her research develops methods for trustworthy data insight generation spanning large-scale data analysis, visualization, machine learning, and web information discovery. Applications include urban analytics and wildlife trafficking disruption.

Publications demonstrate innovations in data exploration tools, provenance systems, and machine learning pipelines, with work appearing in SIGMOD, VLDB, and IEEE Transactions.

• ACM Fellow
• AAAS Fellow
• NSF CAREER Award
• IBM Faculty Award (2)
• Google Faculty Research Award
• ACM SIGMOD Contributions Award

Advises graduate researchers and has secured funding from NSF, DARPA, Moore Foundation, and Sloan Foundation for data science infrastructure development.

Leads the Moore-Sloan Data Science Environment at NYU and co-directs the Visualization Imaging and Data Analysis Center (VIDA).