Cornell vs Georgia Tech Operations Research (Probability)

[Stochastics]

Does anyone have any indication of how these two programs stack up for someone with interests in Probability, Stochastic Processes, and Time Series? For clarity, I have been accepted to Georgia Tech's PhD program and am still waiting on Cornell's decision. 

For reference, I have a statistics background. I have offers from a few top 25 PhD programs in Statistics as well. This is likely a question for faculty in these programs, but how would my experience differ between an OR and a traditional Math-Stat program in terms of both research and future employment opportunities (academia)? If I went to an OR program, I think I would like to have the flexibility to continue doing Statistics research if I so chose. It seems like Georgia Tech does offer this, but I'm curious about the general consensus on here. Thanks!

[Geococcyx]

I can't answer most of your questions, but at Georgia Tech (PhD in Ind. Eng, Op. Research), you can definitely go into statistics and be successful.  C.F. Jeff Wu is a big-time professor, and one of his and V. Roshan Joseph's students at Georgia Tech just interviewed at UC-Berkeley, Penn, Duke, Columbia, Michigan, and NC State among other places last year (after a year of postdoc-ing with them, but still) for tenure-track jobs in statistics.  I'm less aware of how good the professors are outside of those two, but at least in cases of working with the big name folks, you wouldn't have to compromise on statistics too much, and I'm guessing it would be hard to do much better.