Graduate-level statistics programs have long overrepresented certain populations, while underrepresenting others. Discover how leaders in the School of Statistics are investing effort into building a more diverse community in their field.
“There are lots of interesting problems that are not solved,” says Assistant Professor Qian Qin of his research area—Markov Chain Monte Carlo. Qin joined the school this past fall and is excited to be teaching courses and continuing his research.
Can the invisible be made visible through the “magic” of statistical tools? Statistics assistant professor Sara Algeri is applying the principles of astrostatistics to help physicists “see” dark matter. Watch the interview with Sara Algeri.
“We look forward to working with researchers from any discipline where our contribution may add to the state of knowledge,” says Ansu Chatterjee, director of the Institute for Research in Statistics and its Applications. IRSA helps learners across fields engage with the value of statistics.
“Autonomy is what will allow exploration to explode in the future. With autonomy, human costs are significantly reduced while we are still reaping the benefits,” says Doctoral Dissertation Fellow Mitchell Kinney about what he learned at his NASA internship. Kinney was originally drawn to a degree in statistics because of the vast array of opportunities. See how Kinney has taken his statistical savvy to NASA and the NFL.
Statistics major Eliza Stougaard finds that an internship in search-engine marketing, where data meets storytelling, helps her to rekindle an affection for her major and for her liberal arts education.
The School of Statistics and Department of Psychology at the University of Minnesota invite applications for a full-time, tenure-track position at the rank of assistant professor in the area of statistics/quantitative psychology.
Statistics Professor Hui Zou was elected Fellow of the American Statistical Association “For fundamental contributions to high-dimensional statistics, machine-learning and statistical computing and for
Statistics professor Snigdhansu Chatterjee conducts statistical research of “big data,” which he has applied to a myriad of projects ranging from climate change to neurodegenerative diseases. “It’s pretty much the only way you can get any other science to operate,” Chatterjea says.