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Vassilis Digalakis is an Assistant Professor in the Operations Technology Management field at Boston University's Questrom School of Business. He focuses on various aspects of machine learning and operations research. His research includes exploring sparse machine learning methods, regression analysis, and optimization techniques pertinent to operations management. Digalakis has contributed significantly to the literature with publications in reputable journals such as Manufacturing & Service Operations Management and IEEE Transactions on Knowledge and Data Engineering. His work often investigates the intersection of technology and operations, aiming to enhance organizational efficiency through data-driven decision-making. His recent studies include applications of machine learning in high-dimensional data contexts and strategic decisions in public health logistics.
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