dlsxyt Posted August 21, 2020 Share Posted August 21, 2020 (edited) I graduated this June, currently working as a software developer at a top 5 bank. I'm interested in doing research in bayesian statistics / nonparametric statistics. Something bad happened in my first year so I got only ~3.8 in first two years of uni. Undergrad Institution: Canada top 3 Major(s): Statistics Minor(s): Computer ScienceGPA: 3.89(last two years 3.97) Type of Student: Asian FemaleGRE General Test: Q:165V: 161W: 4.0 Applying to: Statistics PhD Research Experience: One year at a relatively large hospital, worked mainly with logistic regression, co-authored an abstract. Other than that I do not really have much research experience. I have several bayesian course based projects. Letters of Recommendation: Probably a decent one from summer reading on math. One from AP teaching ML(got 99). I am hesitating between a prof who Ive taken course with, or my hospital research prof. Neither of them knows me well, but the former is a COPSS winner while the latter is from the only research I've done. Math/Statistics Grades: 1st year: Real Analysis(B+), Linear Algebra I(A+), Linear Algebra II(A) 2nd Year: Advanced Cal(A-), and probability I(A+), Prob II (A-), 3rd Year: Stochastic Process(A+), Spatial Stat(A), ML I(A), Applied Stat(A+) 4th Year: Stat Computation(A+), Multivar Data(A), Mathematical Stat I(A), Mathematical Stat II(A+), ML II(A+), And a bunch of CS courses: Neural Network, Database, Algorithm, etc, at least APlanning on Applying to: Duke, UCLA, UW, UPENN, UNC Chapel Hill What are my chances of getting into some of these schools, and what are some other schools I should look at? Thanks for your help! Edited August 21, 2020 by dlsxyt Link to comment Share on other sites More sharing options...
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