معرفی
Mark G. Low is the Walter C. Bladstrom Professor of Statistics and Data Science at the Wharton School of the University of Pennsylvania, where he has been on faculty since 1991. He co-advises the Statistics and Data Science Undergraduate Concentration and Minor and has held visiting appointments at the University of California, Berkeley, and the University of Illinois.
- Education: PhD from Cornell University (1989), ScB from Brown University (1983)
Research Interests: His work focuses on decision theory, nonparametric function estimation, and statistical inference, with recent publications addressing adaptive confidence bands, sparse normal mixtures, and risk trade-offs in nonparametric regression. He emphasizes methodologies that balance global and local statistical guarantees.
Teaching: He teaches courses such as Stochastic Processes, Probability, and Advanced Statistical Inference, covering topics from Markov Chains to Bayesian credible sets. His pedagogical approach integrates mathematical rigor with interdisciplinary applications in economics and physics.
Scientific Awards:
- Wharton Teaching Excellence Award (2020)
- Wharton Undergraduate Teaching Award (2013)
- Medallion Lecturer, Institute of Mathematical Statistics (2011, 2013)
- Fellow, Institute of Mathematical Statistics (2008)
- NSF Mathematical Sciences Post-Doctoral Fellow (1991)
