Ryan Tibshirani’s father is a statistician, but that is not the reason he went into the field. To Tibshirani, statistics is special because of its broad potential to impact almost any domain or field.
“I went into statistics because I enjoy the beauty and elegance of math, but I wanted to feel more closely connected to science and data,” said Tibshirani, assistant professor of statistics in the Dietrich College of Humanities and Social Sciences. “I found my own way to statistics because I loved the subject, but being able to share this passion and publish papers with my father is very special.”
At Carnegie Mellon University, Tibshirani is involved in both undergraduate and graduate teaching and research. In his research, he develops mathematical models that work to understand simple patterns or structures that may be present in complicated data sets. With these models, he can leverage patterns and structures to predict unseen values of data. This concept can be applied to many different scientific domains.
For example, with Roni Rosenfeld, a professor in the School of Computer Science, Tibshirani formed the research group DELPHI, which...