Dan is a doctoral candidate at the MIT Media Lab, where they research the technical, social, and legal implications of data and AI on communities and workers. Their interdisciplinary work utilizes computational modeling, sociological theory, mixed-methods approaches, and participatory design to analyze platforms, develop new insights into community behaviors, and create systems that audit algorithmic impact. Dan's research has been published in international conferences and journals in computational social science, machine learning, AI ethics, and law. Dan's expertise and research have been recognized by leading publications and media outlets, including NPR's Radiolab, Gizmodo, Wired, Reuters, The Atlantic's CityLab, and the New York Times. In addition to their research, Dan is also a mixed-media artist who has exhibited his work globally.