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  1. 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 Courses: 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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