Jump to content

Stat Assistant Professor

  • Content Count

  • Joined

  • Last visited

  • Days Won


Stat Assistant Professor last won the day on June 27

Stat Assistant Professor had the most liked content!

About Stat Assistant Professor

  • Rank
    Latte Macchiato

Profile Information

  • Gender
    Not Telling
  • Application Season
    Not Applicable
  • Program
    Statistics (faculty)

Recent Profile Visitors

17,993 profile views
  1. I think ETS is giving people the option to take the general GRE at home instead of in testing centers. I believe Stanford has waived the math subject test requirement, though, since that is only offered as a written exam. But then again, Stanford is the only program I'm aware of that required the math subject GRE before this year (some programs recommended it, but I've heard of people getting admitted to top programs without it).
  2. Your profile looks very strong. If you attended a top 3 university, I don't think it matters whether there is "grade inflation" or not. You have also taken a lot of graduate-level courses in both math and stat, and grades in grad school tend to be inflated anyway. Your research experience in evolutionary genetics is also a plus. I think you should apply to mainly top 15 stats programs (according to the USNWR rankings). I'm sure you will get into several of them.
  3. I know a few Stanford alumni/students who published research that they had done as an undergrad (not their PhD research) in JRSS-B or Annals of Statistics -- often their work appeared in these venues during the first year in their PhD program. That is quite uncommon though, even for Stanford -- but it's not terribly surprising that a small number of folks at Stanford already have top-tier papers so early in their research careers, before they have even finished all their PhD coursework requirements. I think it's more common to see international PhD students with papers in journals like "Statistics: A Journal of Theoretical and Applied Statistics," "Journal of Statistical Computation and Simulation," or "Journal of Business and Economic Statistics." I've seen this from a lot of Stat PhD students from South Korea.
  4. I imagine you will have no difficulty getting into any Masters program in Biostatistics, provided your GRE Q score is sufficient (aim for over 160, ideally over 162). If you are contemplating getting a PhD later down the road, I would recommend taking a semester of Real Analysis in your Masters program (I don't see that you have taken this class, and at least one semester of it will be required for most good Biostat PhD programs).
  5. Lack of statistics courses is not an issue for admissions to graduate school in Statistics. Math courses are much more important, and programming skills are helpful. You've got those covered quite well. I would recommend applying to mainly top 20 programs. I foresee you being admitted to a very good school.
  6. PhD admissions for international students is very competitive, and your math background isn't as deep as a lot of other international applicants (although you attend a good college in the USA). I think you could probably have a chance at schools in the range of Purdue to UConn. Programs higher than that might be a reach (only because of the competition for international students), but I would recommend trying a few programs ranked higher than Purdue and then mainly focus on applications in the range of Purdue through UConn, with a few lower ranked schools for good measure. In addition, larger state schools are probably more likely to accept you than smaller programs that may not be ranked as highly but are very small and hence selective (e.g. UVA, Northwestern, and NYU are smaller programs, while Ivy League programs are very selective, regardless of their USNWR rank, etc.). So I would also focus attention on bigger programs at flagship public universities.
  7. I think you can likely get into a Masters program with your current profile. Your math grades aren't the best, but they're mostly above threshold, and your GPA is also above the minimum threshold. Your Quantitative GRE score is a bit on the low side for Stat though. If possible, I would recommend retaking it to get a few points higher (163+).
  8. Your profile is very strong, and I think you can get into top Statistics programs if you secure strong letters of recommendation. A triple Math/Stat/Physics major with a 4.0 from JHU will look very impressive to admissions committees, and your research experience is also a plus (especially in a subject as difficult as physics). I would recommend getting at least one letter of recommendation from a math professor. You don't need to have conducted research or independent study with them. They just need to say that you are a very strong student with high mathematical aptitude. I would go with one letter from a math professor, one from one of your physics research advisors, and one from your applied math research advisor (the one with whom you're working on PDEs/differential geometry).
  9. Having a publication would make your profile even stronger, of course. I would try to find out the profiles of other students from your university who have enrolled in PhD programs in the U.S. in recent years (including where they ended up matriculating), to see how your profile measures up compared to them. I think you will ind a decent number of Korean students with some publications. However, even without research/publications, I do think you are competitive enough to get into good programs in the 20-40 range at present, and you could get lucky and get admitted to a top 20 program or two as well... I just think you need to apply to a lot more schools in the 20-40 range to maximize your chances of getting in somewhere.
  10. You have a strong profile, but I wanted to give some anecdotal evidence. I know several native Korean students who got their PhDs at schools like NCSU and Texas A&M, and they ALL had publications in statistics journals before starting their PhD program. It seems as though the profiles of students from the top schools in South Korea are especially impressive, and thus, the competition is probably a lot fiercer. The one person I know who got his PhD at NCSU even had *several* publications in stat journals and had worked as a lecturer in statistics (he had a Masters degree in it already from South Korea) before starting his PhD at NCSU. Based on this, I would recommend adding more schools in the 20-40 range (according to the USNWR rankings). I think you could definitely get into a school like University of Florida, OSU, or UIUC, but you might also get lucky and be admitted to schools in the top 20. Good luck!
  11. I would not choose a research area based on trying to "maximize" your chances of getting hired. A department's perception of your research "fit" is just not one of those things that you can control, and departments' needs change from year to year. For example, if the department's only probabilitist or ecological/spatial statistician is retiring, then the department may want to hire a new Assistant Prof who is a probabilitist or a spatial statistician. There were some departments I applied to that wanted to hire more Bayesians because their department currently didn't have that many people working on Bayesian statistics, and there were others that were already overwhelmingly Bayesian and they wanted to keep it that way (so they only had campus interviews for people working in Bayesian statistics). The best way to maximize your chances of getting some interviews is to apply to a wide number of schools (to account for the things beyond your control) and to put together a strong application (i.e. strong CV/publication record, strong research and teaching statements, and strong recommendation letters).
  12. The job candidate did go to one of the top 15 schools (according to the USNWR rankings). And yes, that person's profile is *especially* good. I will also note that during the the 2019-2020 hiring cycle, some people got campus interviews at the likes of UPenn Wharton, Columbia, Cornell, etc. with more on the order of 5 or 6 papers, though (and the candidates weren't all from Harvard, Berkeley, Stanford, etc. either, but some were from schools like UC Davis and Rice University). But the publications they did have were in top venues. One of the people I'm referencing had 1 paper in Biometrika, 1 in JRSS-B, and 1 in Annals. For R1's, there are usually a few 'superstar' job candidates that will get 15+ interviews (including at all the top programs), and then for the rest of us, it is a combination of research record and luck.
  13. 6 total papers, I think... 5 of which were accepted/published (the other one under review) and one of which was in Annals of Statistics. As I said though, it isn't just about having some number of papers. It also depends on things like your research area and other factors beyond your control. If the search committee is, for instance, prioritizing applications from job candidates working in environmental/spatial statistics (say) and that isn't your research area, then you won't be hired no matter how long your CV is. If the department just recently hired somebody with very similar research as you, then they may opt to go with other job candidates who can "add something new" to the department. Search committees may also have their own preferences -- for instance, a member of the search committee might be really good friends with a job candidate's PhD or postdoc advisor, and they will forcefully advocate for that job candidate. It's stuff like that.
  14. It should look something like this guy's webpage: http://www.travisfreidman.com/ Notice how he has his teaching philosophy, teaching goals, teaching competencies all very visible on his site. He also has a page for his teaching evaluations, including summary statistics, and he has the syllabi and course materials for the courses that he has taught. Your site should really sell your abilities as a teacher. If you were to apply to a research university, you don't need to include as much (or anything, really) about teaching. A more "typical" webpage for someone seeking an R1 job would probably be something more along the lines of this: http://web.stanford.edu/~songmei/
  15. The elite LACs also care a lot about teaching, even if their research expectations might be somewhat higher than a "typical" PUI. So if you are aiming for an elite LAC, you should definitely try to obtain teaching experience. I recommend that those who are aiming for jobs at PUI's create a personal webpage that highlights teaching experience (e.g. you should put examples of your teaching evaluations or a "teaching portfolio" on there). Those aiming for jobs at research universities should emphasize the research aspect on their personal webpage.
  • Create New...

Important Information

By using this site, you agree to our Terms of Use and Privacy Policy.