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Mark G. Low is the Walter C. Bladstrom Professor at the Wharton School of the University of Pennsylvania, where he has served since 1991. He specializes in statistics and data science, with interests that lie in decision theory, nonparametric function estimation, and statistical inference. Low has made significant contributions to statistical theory and has published numerous research articles including work on adaptive confidence bands and nonparametric regression. His academic journey began with a PhD from Cornell University in 1989, following a ScB from Brown University in 1983. He has held visiting appointments at prestigious institutions such as the University of California, Berkeley, and the University of Illinois. In his teaching, he covers a range of statistical topics including probability, stochastic processes, and statistical inference, often emphasizing real-world applications. Low's work has garnered several honors, including the Wharton Teaching Excellence Award and recognition as a Fellow of the Institute of Mathematical Statistics. He is actively involved in research that pushes the boundaries of statistical methodology and education, addressing complex challenges in the field.
Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.