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Prof. Anna Choromanska is an Associate Professor at the NYU Tandon School of Engineering, where she is deeply involved in research regarding Deep Learning and its optimization. She is a recipient of multiple prestigious awards, including the NSF CAREER Award and the Alfred P. Sloan Research Fellowship. With a strong focus on understanding how machines acquire knowledge, Choromanska investigates the optimization challenges in training deep learning models, particularly with large datasets. Her work aims to develop efficient optimization strategies essential for training state-of-the-art deep learning architectures. Prior to her professorship, she conducted post-doctoral studies in the Computer Science department at NYU, under Turing Award winner Yann LeCun. Prof. Choromanska engages in interdisciplinary research, combining experimental and theoretical aspects of machine learning, and is actively involved in promoting diversity in STEM fields, particularly for women and underrepresented minorities. She also directs the Learning Systems Laboratory, where she supervises PhD candidates and collaborates on innovative research projects in autonomous driving and large data analysis.
New York University, Courant Institute of Mathematical Sciences • New York
Conducted research in deep learning under the guidance of Prof. Yann LeCun.
Administered by the Department of Electrical and Computer Engineering.