I’m an Associate Professor in the Department of Computer Science and Engineering at the Tandon School of Engineering, and the Center for Data Science, New York University. I also direct the NYU Tandon Center for Responsible AI, NYU R/AI, and am a member of Visualization and Data Analytics Research Center, VIDA.
My research focuses on responsible data management and analysis: on operationalizing fairness, diversity, transparency, and data protection in all stages of the data acquisition and processing lifecycle. I established the Data, Responsibly consortium, and served on the New York City Automated Decision Systems Task Force, by mayoral appointment. In addition to data ethics, I work on management and analysis of preference data, and on querying large evolving graphs. I received my M.S. and Ph.D. degrees in Computer Science from Columbia University, and a B.S. in Computer Science and in Mathematics and Statistics from the University of Massachusetts at Amherst.
My research is in the area of data and knowledge management.
Having graduated from college, I spent 5 years in the start-up industry, as a software developer, data architect and database administrator. This experience has motivated me to work with real datasets whenever possible, and to deliver results of my research to the communities of target users, as part of open-source systems or as stand-alone prototypes.
Email: stoyanovich@nyu.edu
Offices:
July 2, 2021
Temoral Regular Path Queries, with Marcelo Arenas and Pedro Bahamondes, is now available on arXiv
July 1, 2021
Impact Remediation - Optimal Interventions to Reduce Inequality, with Lucius Bynym and Josh Loftus, is now available on arXiv
June 15, 2021
Fairness as Equality of Opportunity - Normative Guidance from Political Philosophy, with Falaah Arif Khan and Eleni Manis, is now availalbe on arXiv
May 12, 2021
Fairness in Ranking - A Survey, with Meike Zehlike and Ke Yang, is now availalbe on arXiv