alexpghayes Posted October 20, 2017 Share Posted October 20, 2017 Undergrad Institution: Rice University (if anybody has questions about programs here, reach out!) Major: Statistics GPA: 3.68 / 4.33 Type of Student: Domestic GRE General Test: 169 quant, 163 verbal, 4 writing GRE Subject Test in Mathematics: N/A Research Experience: (1) Since August: applying ML to neuroscience problems with professor who does lots of ML (1) REU in Biostatistics, no publication (2) Designed, ran and analyzed survey for Houston Parks Department Courses: Currently enrolled in a Bayesian statistics course and functional analysis, planning to take abstract algebra and topology next semester Parallel Programming (A) Statistical Machine Learning (A) Neural Networks (A) Probability (B-) Honors Linear Algebra (B+) Data Science Tools (A) Functional Programming (A-) Algorithms and Data Structures (C) Intro CS (A+) Experimental Design (A+) Linear Regression (A+) R Programming (A+) Honors Analysis (C+, as a sophomore) Intro to Optimization (B) Probability & Statistics (A-) Honors Calculus IV (A) Honors Calculus III (B) Dual credit from high school: Linear Algebra (A) Differential Equations (A) Letters of Recommendation: (1) Advisor for Biostat REU, who is also on the UW Biostat faculty (2) Professor from Data Science Tools course, which I currently TA (3) Either undergrad advisor or professor who taught my ML class (different from professor I'm currently doing research with) Work experience: NA Applying to: PhD Statistics Programs Dream: CMU, Berkeley, UW Other: Michigan, UNC Chapel Hill, Madison (?), Wharton (?), Cornell (?), Columbia (?), UCLA (?), UC Davis (?) advice please Concerns: 1. Lower grades in more mathy classes, not much research 2. I have no clue where to apply. I feel like I have typically done well in applied courses but that I'd like to get more into theory, which I've struggled with. I enjoy optimization and ML theory. Link to comment Share on other sites More sharing options...

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