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captivatingCA

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About captivatingCA

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    Caffeinated

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  • Application Season
    2020 Fall
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  1. I agree with @bayessays. I think my letters are what pushed me over the edge. It sounds like your letters will be great, so I think you could have a good shot at the schools you mentioned. If you haven't already, I would show your recommenders your list or ask them what schools/departments they think you're competitive for. That definitely guided my application decisions. I also wanted to add that even though your list has a decent range in terms of ranking, the departments you mentioned are all pretty selective either due to size or prestige or both (e.g. Yale). I think you would benefit
  2. I think you have a good shot at getting into some of the top programs. I don't think a few B's will tank your application, especially since you have A's in similar courses. It might help to have one of your recommenders speak specifically to your ability in those courses. I'll defer to more seasoned members to speak more in-depth on your chances though. Searching for labs before you're accepted isn't common in statistics as it may be in CS. You're accepted to the department instead of a particular lab. I'm not intimately familiar with all of the research going on at different institutions
  3. I'm curious, did most people get lengthy reviews? I suppose it might vary by field. Mine were pretty terse, just a few sentences each. They gave enough info, but it would have been nice to hear more of the reviewers' logic for their scores.
  4. I agree with @bayessays and @statistican. IIRC, the rankings are determined by surveys sent out to professors in stats departments. USNWR averages the scores and ranks departments from there. UChicago has a great reputation among faculty, therefore it's high in the rankings. A lot of things can change between surveys (which I believe happen every 4-5 years), and a lot of important info is imperceptible to people outside a department (e.g. your prospective advisor plans to retire soon). So within 10 or so places, take the rankings with a grain of salt, like bayessays said. W.r.t. to ML re
  5. Not awarded - VG/E, E/E, G/G. I'm an undergrad senior and applied through mathematical sciences - statistics. The first two reviewers really liked my application and didn't really have any critiques. The third thought my proposal lacked 'scope and depth' and that my broader impacts were 'too ambitious to be realistic'. I have a lot of inter-sectional identities that I implemented into my personal statement, so maybe it seemed like I was fishing for points? They all played a part in my experience, so I thought it would be relevant to include them. My future goals were ambitious, but certainly d
  6. If you're 85% sure already, go for it! CMU has a great department, so no need to second guess your decision.
  7. First off, congrats on your acceptances! I just want to add my two cents from my perception of these departments. I'm just an applicant and haven't had extensive experience with these departments, but I can share how things seem to me from talking to grad students and professors. In general, these departments are more alike than different. statsnow mentioned a lot of positives to Berkeley, and I think CMU shares a good chunk of them. CMU is really flexible in their requirements, and all of the courses are pass/fail. At the virtual visit for CMU, it was mentioned that the funding structure
  8. I don't know the answers to these questions, but I'm sure the graduate coordinator does. If you shoot them a quick email, they'll be able to point you in the right direction.
  9. I wasn't awarded, and I definitely felt a bit of a ding after reading the email. But I've started to look at the things that have gone right for me so far. Personally, I'm just happy that I'm going to grad school. Even if the NSF is indicative of ability (which, as jstop28 mentions, isn't necessarily true), a rejection isn't a death sentence to my scientific career. I have a lot of time ahead of me to learn and develop, and I'm looking forward to seeing the reviews so that I can figure out what areas to improve. While the validation (and money) would have been great, not getting the fellowship
  10. I haven't decided just yet, though I've narrowed it down a good bit. I started with more obvious things like location and research fit, and used visits (in-person and virtual) to get a better sense of the departments. I also talked to people who know me well about my choices. I feel like most of it is based on personal preference not objective fact since all of these schools are great places to be. I don't want to clog up the results thread, but feel free to message me if you'd like to know more.
  11. Undergrad Institution: ~Top 100 (according to US News) Major(s): Mathematics Minor(s): Computer Science GPA: 3.85 Type of Student: Domestic Black Male GRE General Test: Q: 163(~85%) V: 164(~90%) W: 4.5 (~85%) Programs Applying: Statistics and Biostatistics PhDs Research Experience: I did research during my freshman and sophomore years, but it wasn’t relevant to stats. I worked with a math professor at my university on a bunch of random stuff (e.g. data visualization) over the past two years. This wasn’t research per-se, mostly just learning the material in
  12. Past threads: 2013, 2014, 2015, 2016, 2017, 2018, 2019 Here's the thread to submit your profile and results for stat and biostat programs for Fall 2020. You only have an hour after you post to edit, so it is best to post only when you have all of your results or have made a decision. Give as much detail as you feel comfortable with! Below is the template: Undergrad Institution: (School or type of school (such as Big state/Lib Arts/Ivy/Technical/Foreign (Country?)) Major(s): Minor(s): GPA: Type of Student: (Domestic/International (Country?), Male/Female?, Minority?) GRE Gen
  13. Since the application season is nearing the end for PhD applicants, are people interested in creating a results thread? I created last year's thread, and if there's enough interest I can go ahead and create this year's.
  14. Congrats to those who received the fellowship! I got an email this morning to check the portal and was notified that I did not receive it. My reviewers were pretty helpful, and one gave specific advice. I applied under Physical Sciences. I'm curious how applications are matched with reviewers in terms of fields. The NSF is specific enough for reviewers to know some of the intricacies of the applicant's field (publication rate, required experience, plausible research ideas, etc.). I'd imagine that there could be some issues with a mathematician reviewing a chemist's application for example
  15. I met a few people at visit days who mentioned getting into Wharton.
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