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teafortwo

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  1. My priorities are, depending on whether the research is something the university focuses on, the following: stochastics > theoretical computer science > economic computation > scientific computation > machine learning & AI. I'm getting away with having different interests by submitting different statements to different schools. I have a clear idea of what I want to do in each of these fields, down to the specific research groups. So I've written up a very research-dense SOP already. Several, depending on the school. My professors are also certain our papers will be published, so I assume the subject material is nontrivial and worth discussing in my SOP. I also have research statements tailored for each program. Providing the schools I'm applying to aren't sharing my apps with each other, I should be fine. I think. I'm a bit concerned about your comment on top candidates having a paper. What schools are they going for? What schools am I competitive in? I have to hope my professors wrote me good letters, since two were involved in my research. The third can only attest that I passed tough grad courses, which is not good, but there's no alternative here. Aware, sadly, that my subject GRE is trash, but I'm not waiting a year. I wasn't interested in studying either for the general or the subject, and I walked right into both blind. Anyways, I'm not aiming for the top applied math schools. So what's your thoughts on the schools I can apply to? I'm interested in seeing how your assessment matches with my professors', who I'm suspecting are overly optimistic. Yep. I failed a few times in totally unnecessary courses my freshman year that have no impact on anything really besides my GPA. My major and minor and general education scores are all 3.9-4.0. Rank ~50. Thanks for responding!
  2. I'm mostly aiming for applied math + CS programs, but statistics is definitely something I'm looking at since probability is something I'm into. Problem is I know almost nothing about statistics programs, so I'd appreciate advice from someone who does know stats Type of Student: Domestic Asian Male Undergrad School: Big State School Undergrad Major: Math + CS/Econ minors Undergrad GPA: 3.5 cumulative, 3.9 major + minors GRE: Quant 168 - 94%, Verbal 166 - 97%, Writing 5.0 - 92%; Math Subject 650 - 48% (owwww - this is what I get for walking into the GRE without prep) Courses: 9 grad courses: 6 in math, 2 in econ, 1 in CS. Relevant covered topics: harmonic analysis, PDEs, functional analysis, probability theory, stochastic calculus, econometrics. Also some undergrad courses of note: math stats, algorithms & complexity. Research Experience: 3 papers. 1 is in quant finance and mostly pedagogical, so not important. 1 is in stochastic processes. 1 is in theoretical computer science. All three have been submitted to journals and are still in review, and I won't have any publications in time. This worries me a lot. Recommendation Letters: 2 from research professors, 1 from a professor who taught two of my grad classes. I've been told to apply for Yale and Columbia Statistics so far, but I don't even know whether they're above or below or at my level. I'd love some feedback from other people who might know the stats field well, or at least better than I do. Where SHOULD I be applying? Is my app strong? Is it weak? WTF am I doing?
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