[School suggestions?]

37 minutes ago, insert_name_here said:

This guy has a history of posting... offbeat takes. (The last time I downvoted one of them, he actually went back through my history and downvoted every one of my posts).

If you want to be a statistician, it's probably a good idea to go to a stats program. While your advisor is important, so are your required courses/quals/classmates/seminars/etc.

Most of the profs he listed are pretty theoretical (makes sense they're in a math dept), OP seems more applied. For stat ML generally, they're a fine school but putting them at the same level as Berkeley/Stanford is a bit much.

I hear MIT's OR department is great, is pretty applied, although I don't think that's quite what you're looking for. Their EECS dept may be worth a look if you want to do that type of ML, it'd be a reach admissions-wise, but not completely crazy (though the advisors you'd be looking at are entirely separate from the listed advisors)

Ah, I see. Thanks for this; it clears things up.

[School suggestions?]

1 hour ago, DanielWarlock said:

An important omission on the above suggestions is MIT. MIT does not have a statistics department but it is possible to study statistics there through EECS, math, OR, or CSE track. The matter fact is that when you talk about the "hot areas" such as statistical/machine learning, inference algorithms, high dimensional statistics, MIT is as strong as (or is probably stronger than) Stanford or UCBerkeley. A list of "emerging superstars" there: Elchanan Mossel, Sasha Rakhlin, Philippe Rigollet, Guy Bresler, David Gamarnik, Ankur Moitra, and many many more. 

I'm surprised that this forum doesn't even mention MIT when it has one of the most powerful stats communities there. Not to mention that when you get into MIT, you virtually get into Harvard because you can have supervisors/collaborators at both schools and take any courses, joins any reading groups you like at both places. 

Is there any insight that can be given into this? Specifically, is it feasible for me with my profile to be applying to schools' Math PhD programs if they don't have a statistics program? (also, why was this downvoted?)

[School suggestions?]

Sorry, I meant to say that I'm only applying to Stats PhDs.

[School suggestions?]

Specifically I'd like to know the most competitive school that I would have a good shot at. This was the crux of my question. Schools that I've spoken to simply refer me to the basic requirements, which is unhelpful as most applicants ought to have met these requirements in the first place. Also I realized I've made a typo; I'm only considering applying to Stats PhDs (I copy pasted another thread to use as a template haha).

[School suggestions?]

Undergrad Institution: Ivy

Major: Math + Joint masters in Statistics 
GPA: 3.85 Undergrad, 3.8 grad

Type of Student: Domestic Asian Female

GRE General Test: Have not taken yet
 

Programs Applying: Statistics PhD or Math PhD

 

Research Experience: One year with an assistant professor in Biostatistics studying evolutionary processes, One year with a full professor in Biostatistics. 4 months in a government lab of applied research with computer vision. No papers.
 

Letters of Recommendation: The two professors that I've done research which should be strong. Also one from my undergrad advisor which isn't as strong.

 

All are undergrad level unless otherwise indicated.

 

Math Courses:  Multivariable Calculus, Linear Algebra, Applied Linear Algebra, Differential Equations, Intro to Analysis, Analysis I, Analysis II, Functional Analysis, Measure Theoretic Stochastic Processes, Measure Theoretic Probability  (PhD Level), PhD Level Analysis (will be in progress when I apply).

 

Statistics Courses (Master's Level):  Introduction to Stochastic Processes I, Introduction to Stochastic Processes II, Mathematical Statistics, Independent Study, Linear Models and ANOVA.

Statistics Courses (PhD Level): Statistical Learning I, Statistical Learning II, Linear Models I, Linear Models II, Linear Models III, Information Theory, Bayesian Stats I, Bayesian Stats II. Mathematical Statistics (will be in progress when I apply)

 

I'm pretty clueless about the whole process. I've looked at the websites for a few programs thus far and it appears as if I meet the basic requirements for most of them, but I'm not sure which I should apply to given my profile (nor am I sure about the distinction between the biostats and stats programs at some schools. Can/should you apply to both?) 

 

Thanks for your help!