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Stat Assistant Professor

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Stat Assistant Professor last won the day on September 30

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About Stat Assistant Professor

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    Statistics (faculty)

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  1. I'm sorry, I'm not really sure about the coursework in Biostatistics Masters programs. My impression was that they are mostly the same as Statistics Masters programs in the first year. Also, to OP: it might be worthwhile to check out a few unranked programs as well. Spatial statistics is a bit of a "niche" field (so some of the best programs for Spatial Statistics are not necessarily the highest ranked in USNWR -- e.g. Colorado State and University of Missouri Statistics are both strong programs for spatial statistics). However, in addition to these schools, there are also a few unranked
  2. I would make sure to follow each graduate school's application instructions to a tee. If only three letters are requested, then only send three. If the applications allow "up to four," then a fourth one is probably okay.
  3. A short e-mail is fine. I've written some letters of recommendation for students for grad school or medical school applications, and I happily accepted a thank you e-mail from them.
  4. Given your interests, I would also recommend that you look more into Biostatistics PhD programs in general. There are some very strong spatial/environment faculty at, for example, UCLA Biostatistics. Dr. Sudipto Banerjee at UCLA comes to mind, and he has excellent academic placement for his PhD advisees. Many of the top PhD programs in Statistics are not as strong in the area of spatial/environmental stats as top biostat programs.
  5. Given your grades and your pedigree, I think you can aim higher in the ranked USNWR ranked list than your current list. The schools on your list make sense if you are interested specifically in environmental/spatial statistics, but I think you have a shot at higher ranked programs as well. Check out UNC-Chapel Hill Biostatistics, John's Hopkins Biostatistics, Harvard Biostatistics, Cornell Statistics, NCSU Statistics. All have great faculty working on spatial and environmental stats.
  6. Given your academic performance and your pedigree, your profile looks very strong. Even if you didn't get additional research experience, I would anticipate that you would be able to get into some very good PhD programs -- you have a great shot at programs in the top 15. With great letters of recommendation, you should be in very good shape. Re: research. Adcoms probably won't expect most undergrads to have research in theoretical statistics (it happens occasionally, but is quite rare). However, your research experience with the Department of Communication at a peer university is definite
  7. The experimental physics professor seems like he would be able to write a more meaningful letter for you.
  8. It's probably okay to talk about your research interests broadly. Since you would not be accepted into a specific PI's lab in these programs, you don't need to have a thesis topic -- or even a specific research subfield -- in mind. You can talk about what you found interesting about the papers you read on a daily basis to convey that you do research in your current capacity, as well as your research on applications of ML to risk management and your MS thesis research. You could talk about the directions you are interested in exploring. Since you are preparing a paper for submission, you can ta
  9. Yes, you could do that (put up a paper on arXiv). I don't know how closely the adcom members will really read it (there's simply not enough time for that). But you can then list on your CV that you have a preprint (though judging, from your original post, it seems like you have another paper already "in preparation"). You could list this as another paper "in preparation." In any case, your recommendation letters will carry a lot more weight than having some preprints (these don't really "count" as much as accepted, peer-reviewed manuscripts... but for early career PhD students, postdocs,
  10. I think the MS from the University of Oxford (a top 5 university in the world) will definitely make a huge difference. That said, I'm just not sure how your profile compares to those who are accepted to Princeton, NYU Courant, and Chicago CAM. It seems like beyond prestigious pedigree and strong academic performance, research experience is much more common these days (for the top programs, anyway). You could take a look at some of the PhD students at Princeton ORFE and Courant and see what their CV's look like... look at the year they matriculated and see if they have any papers that were publ
  11. Your profile looks strong but I think your list of schools is quite top-heavy. Those are extremely competitive programs. I'm not sure how your institution is viewed relative to the most renowned Germany schools like LMU Munich, TUM, or Heidelberg. But European undergrad programs in mathematics tend to be very rigorous in general (with PhD-level graduate coursework in the U.S. being undergrad/Masters classes at European schools), so I don't think you will run into much of a problem with adcoms being concerned about your preparation (which is sometimes an issue for American applicants). Ho
  12. If your undergrad was from an elite school like HKUST, the Chinese University of Hong Kong, or University of Hong Kong (these three schools in Hong Kong enjoy very strong international reputation, and they've sent their graduates to top Stat PhD programs like Columbia, University of Washington, etc.), then I think you shuld be in very good shape to get into top Statistics PhD programs. That, plus your Masters degree at an elite school, should make you competitive. You can certainly afford to aim a lot higher than UVA, Georgetown (which is an excellent school but less well-known for stat/m
  13. Right, the PhD advisor and the research area both matter a great deal. For example, it is typically going to be harder for a probabilitist to get an academic job than a statistician, even if the probabilitist went to a "top" school (the demand isn't as high, so if you do go into probability theory, you have to be *really, really* good at it to land an academic job at a research university). There are also some unranked programs that have good people, like University of Cincinnati and University of California-Santa Cruz where there are/were a lot of good professors like Bruno Sanso and Abel Rod
  14. I'm not saying prestige doesn't matter at all. It can make a difference, and there are many benefits to going to a top school (like a greater number of "superstars" and professors who are internationally recognized, possibly more job connections, etc.). But at the end of the day, you make your own success. Above all else, departments want to hire somebody who has a good record of scholarship and the *future potential* to continue producing quality research after they're hired. And you can accomplish that with a PhD from any reputable school (though it might be easier to build a track record at
  15. Given your profile, the advice I gave in the other post remains the same. I think you need to focus on schools ranked lower than USWNR top 60 and also apply to some unranked PhD programs as well. If your ultimate goal is industry, then that is not a problem at all. If your ultimate goal is academia, I would like to point out that there was one person whose PhD was from the University of Illinois at Chicago (an unranked program -- and they combine math, statistics, and computer science all in the same department) who got an Assistant Professor job at the Iowa State University Department of
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