Hi everyone! I am now comparing these four PhD programs, and I think I am more interested in a career in industry than in academia.
Statistics at the University of Washington, Seattle
I am still on the waiting list but I have to decide in advance. There are certainly more job opportunities in Seattle and the stats program there is among the top. They also have a machine learning track, and Emily Fox.
Statistics at the University of Michigan, Ann Arbor
I am currently an undergraduate here so I know the school better and it will be easier to move. The professors here said there is not a big difference between the stats programs here and at UW Seattle, in general. They also think that machine learning here is stronger. The placement records look better than UW. Another plus is that I can also apply for a Master's degree in Computer Science here. But I guess it would be harder to find a job in Ann Arbor than in Seattle.
Applied Math at Brown University
I really liked the school and the city, but a doctoral degree in applied math is not as promising as one in statistics. I am not even sure if I am so interested in Scientific Computing that I can overcome this disadvantage.
Statistics at Cornell University
Will probably gain better connections at an Ivy school. The department is small and the qualifying exams are waived for most students. But the department is still too young with a low rank, and Ithaca is definitely even worse than Ann Arbor. Can potentially gain a Master's degree in CS (Cornell is strong in CS).
Thanks in advance!