Lucas is a PhD candidate in Computer Science at NYU advised by Julia Stoyanovich and working closely with Christopher Musco (NYU), Bill Howe (UW) and Rachel Cummings (Columbia). He is a member of the NYU Center for Responsible AI and the Theoretical Computer Science Group @ NYU. His research develops trustworthy and privacy-preserving algorithms, focusing on differentially private synthetic data, algorithmic fairness, and privacy for large language models (LLMs), among other things. He is supported by an NSF Graduate Research Fellowship.