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Emily Black is an Assistant Professor at the NYU Tandon School of Engineering within the Computer Science and Engineering Department, specializing in the intersection of technology and policy. With a focus on algorithmic fairness and responsible AI, she has contributed significantly to interdisciplinary research aimed at developing equitable AI applications. Before joining NYU, she earned her Ph.D. in Computer Science from Carnegie Mellon University in 2022, where her research laid the groundwork for understanding the societal implications of machine learning technologies. She also holds a Bachelor of Arts in Computer Science, Mathematics, and English from Wesleyan University, obtained in 2017. Emily leads initiatives on data science at the NYU Center for Responsible AI, where her work addresses critical issues of anti-discrimination and the development of policies for machine learning implementation in ethical ways. Her research interests also encompass deep learning and the implications of artificial intelligence in societal contexts. Emily is dedicated to shaping the future of technology through responsible and inclusive practices, focusing on creating systems that prioritize fairness and accountability in AI.
Open Program in Biomedical Sciences (Vilcek Institute) covers departments like Biochemistry, Pathology, Neuroscience, Microbiology, etc.