Adam Wierman is a professor in the Department of Computing and Mathematical Sciences at the California Institute of Technology (Caltech). His research interests primarily include areas such as queuing theory, machine learning, and algorithms, often with applications in networking, data analysis, and other fields. He has contributed to various topics in operations research and has published numerous papers in academic journals.
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