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Profile Evaluation for stats phd


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Undergrad Institution: Top 20 US Liberal Arts College
Major(s): Mathematics
GPA: 3.6 (grade deflation in my department, but still not very competitive I guess)

Type of Student: International Asian Female
GRE General Test: (took July 2017)
Q: 170 
V: 160 
W: 4.0 

GRE Math Sub: Took in October, hope it was a 75th percentile

Programs Applying: Statistics PhD
Research Experience: 
  • Two summer research in abstract algebra, but the topic was fundamentally statistics related (experimental design direction), one paper under review
  • TA for stats course for 3 years, R tutor for one semester
Awards/Honors/Recognitions: One honorable mention in a stats modeling competition
  • stats modeling and math modeling (both A-)
  • higher level math courses like Abstract Algebra and Analysis (did do well in analysis, the worst grade among my math course)
  • Probability (A-)
  • In data science course right now, and will taking a Bayesian seminar next semester as well as an advanced data science course
  • Computer language: C, Java, Scheme, Latex, Mathematica, Matlab, R

Recommendation Letter: One from the professor I did two research with, one from my academic advisor who is a stats professor, and still considering the third one.

Programs Considering (PhD):

  • Harvard 
  • UC Berkeley
  • UCLA
  • Johns Hopkings University
  • Carnegie Mellon University
  • U Chicago
  • NYU
  • Columbia 
  • Washington Seattle
  • Duke
  • UNC
  • U penn
  • UCD


I wonder am I likely to get into these programs?

Since I did research only in pure math, should I aiming for a more theoretical program instead of an applied one?

Who should I ask for another recommendation letter? 

Thanks for your advice!!

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