trynagetby Posted June 3, 2020 Share Posted June 3, 2020 Hi all I posted last year about my confusion of where to apply and everyones feed back was super useful! I'll be applying this year and would really appreciate if people could give feedback on the list of school's I've come up with. Undergraduate Institution: Columbia University Major: Mathematics-Statistics GPA: 3.90 Type of Student: Domestic Asian Male Relevant Classes: Statistics Courses: Statistical Inference (A) , Bayesian Statistics (A), Statistical Machine Learning (A-), Stochastic Processes (A), Probability Theory (A), Linear Regression (A+) Math Courses: Algebra I (B+), Fourier Analysis (B), Calc III-IV (A), Linear Algebra (A), Optimization (A), Analysis I-II (A), Probability Theory (measure theoretic) (A-),Numerical Methods/Analysis (A+), ODE (A) MISC: Data Structure and Algorithms (A), Analysis of Algorithms (A-), Artificial Intelligence (A), Databases (A) Mandatory Pass Fail: Casual Inference, Advanced Linear Algebra GRE: Q: 168 V: 160 W:4 Research Experience: Got accepted to a biocomputing conference as first author and gave an oral presentation (Bayesian classification). Been Working with a pretty well known statistical neuroscience professor. Should have an e-life paper and maybe a NeurIps pub but as like 5th author. Recs: One from the professor I published the Biocomputing conference paper with (first author), Second is the statistical neuroscience prof I'm working with. Both should be decently strong. Last is the Advanced Linear Algebra professor where I was likely the top performer (also should show that I did well in the class despite the P) My school list looks something like this: Reach: CMU, University of Michigan, University of Washington, Cornell, Duke Target: UNC, University of Wisconsin Madison, NCSU Safer Target: UCLA, UIUC Are any reaches too much of a moonshot and my target schools actually reaches? Thank you all so much for your help! Link to comment Share on other sites More sharing options...
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