Lucas Rosenblatt is a fourth-year PhD candidate at NYU where he is advised by Julia Stoyanovich and works closely with Christoper Musco. At NYU, he is affiliated with the NYU Center for Responsible AI and the Theoretical Computer Science @ NYU Group. Lucas also collaborates with Bill Howe at the University of Washington and the Volitional AI Lab at UW, as well as with Rachel Cummings and her group at Columbia University. His research is supported by an NSF Graduate Research Fellowship.
Lucas’s work addresses important questions in data privacy, algorithmic fairness, climate issues, socially impactful AI, and large language models (LLMs), focusing on the potential for technology to achieve social good.
Previously, Lucas was part of the Microsoft AI rotational program, working at the New England Research and Development lab. He graduated from Brown University in 2019, where he wrote a thesis on AI and self-data collection.
Lucas Rosenblatt is a fourth-year PhD candidate at NYU, advised by Julia Stoyanovich and working closely with Christopher Musco. At NYU, he is affiliated with the NYU Center for Responsible AI and the Theoretical Computer Science @ NYU Group. Lucas also collaborates with Bill Howe at the University of Washington(UW) and the Volitional AI Lab at UW, as well as with Rachel Cummings and her group at Columbia University. His research is supported by an NSF Graduate Research Fellowship.
Lucas’s work aims to answer open questions on data privacy, algorithmic fairness, climate, AI with social impact, and LLMs, all with an eye towards doing social good.
Previously, Lucas was part of the Microsoft AI rotational program, working at the New England Research and Development lab. He graduated from Brown University in 2019, where he wrote a thesis on AI and self-data collection.
Research Centers, Labs, and Groups
Center for Responsible AI
Our goal is to make responsible AI synonymous with AI. ...