moosetiger

Hi all, I was extremely fortunate to be admitted to both schools’ PhD programs this program, and given both of their records, I am having a lot of trouble deciding. Does anyone have any things that one *must* keep in mind? Would really appreciate any crucial insights 😭 Harvard: - Lots of random matrix theory and biostats, weak at theoretical ML - Far fewer students, so advisors can put more time - Boston = ok Berkeley: - Strong at theoretical ML, which seems to align with my interests - Hard to get facetime with certain advisors and, in general, navigate research — so many students - Simantousely, I have heard that what makes Berkeley truly unique is its “culture of innovation” — there’s just something about it. Can anyone confirm? This is the main point dissauding me from Harvard…

Hi all, Was curious if anyone's heard back from Harvard, UC Berkeley, Yale and other top statistics programs regarding rejections / interviews... getting a bit anxious, since I heard that a couple years ago, top statistics schools (such as Harvard and UC Berkeley) would start rejecting applicants as soon as mid-December. Just hoping there's still some chance for an interivew!