- Joined
- 1/12/21
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- 17
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- 13
If your goal is to get back into the quant space, you may know better than me, but my personal opinion is that it doesn't matter which of these schools you go to given that you already have experience working at a top fund. The difference in outcome that you would get from choosing one school over the other is very likely to be only worth an epsilon in that regard.
The only thing I could really see making a difference is if
1. There is a particular shop you're going for and you won't take anything else, then maybe you should see the backgrounds of people who work there and go to a school that most of them went to.
2. One school will afford you a research topic or courses that is more ML focused than the others (given the way the industry seems to be going). Frankly, however, I don't think this is that important since you can learn this anywhere even if your research isn't related to ML per se.
Now, the answer does become different if instead you were dead set on academia. In that case you would need to do some due diligence and check the alumni of these programs and see where they end up. Does everyone from the Stanford program go to industry? Then don't go there if you want to be a professor.
Similarly, if academia will be your goal you need to consider what topic you would study at each place and whether or not these topics are "hot". I've seen plenty of just "good but not great" students get TT positions at good schools simply because they studied an area that was "in", and I've seen tons of Math geniuses get low tier or only post-doc offers because they studied some esoteric area that no one else cares about.
Personally, i'm partial to Princeton, CMU, Stanford, but then again my PhD is in Statistics . Yale is a good department for sure, but tbh I think it's the weakest one of all the offers you've gotten. All of those schools have some really heavy hitters that you could work with (for example Jianqing Fan at Princeton).
The only thing I could really see making a difference is if
1. There is a particular shop you're going for and you won't take anything else, then maybe you should see the backgrounds of people who work there and go to a school that most of them went to.
2. One school will afford you a research topic or courses that is more ML focused than the others (given the way the industry seems to be going). Frankly, however, I don't think this is that important since you can learn this anywhere even if your research isn't related to ML per se.
Now, the answer does become different if instead you were dead set on academia. In that case you would need to do some due diligence and check the alumni of these programs and see where they end up. Does everyone from the Stanford program go to industry? Then don't go there if you want to be a professor.
Similarly, if academia will be your goal you need to consider what topic you would study at each place and whether or not these topics are "hot". I've seen plenty of just "good but not great" students get TT positions at good schools simply because they studied an area that was "in", and I've seen tons of Math geniuses get low tier or only post-doc offers because they studied some esoteric area that no one else cares about.
Personally, i'm partial to Princeton, CMU, Stanford, but then again my PhD is in Statistics . Yale is a good department for sure, but tbh I think it's the weakest one of all the offers you've gotten. All of those schools have some really heavy hitters that you could work with (for example Jianqing Fan at Princeton).