She has a PhD in Statistics from Stanford. The title of her thesis was "Transposable Regularized Covariance Models with Applications to High-Dimensional
Data". (http://www.stat.rice.edu/~gallen/)
I think she knows what she is talking about.
I think she knows what she is talking about.
Nearly all statisticians realize the need for more inferential thinking in modern ML. E.g. http://magazine.amstat.org/blog/2016/03/01/jordan16/ We still don't do that well in high dimension, low sample size regimes that make up the majority of life science research.