Hi all,
I'm interested in applying for PhD programs in Statistics to study machine learning and/or bayesian statistics. Here's my profile:
Undergrad Institution : Top 5 U.S. liberal arts college
Major(s): Economics & Mathematics GPA: 3.98 (4.0 major)
Type of Student: White male
Courses taken and taking (all As): Calculus I-III, Linear Algebra I-II, Mathematical Proofs, Topology, Real Analysis I-II, Group Theory, Rings, Algebraic Geometry, ODEs, Combinatorics, Probability, Statistics, Bayesian Statistics, Econometrics, Financial Economics
GRE General Test:
Q: 170 (96%) V: 167 (98%) W: 5.5 (98%)
GRE Mathematics Subject Test: Taken in October
Programs Applying: Statistics
Research Experience: ML research project sophomore year summer, math & stats REU junior year summer (submitted paper for publication), honors thesis in progress. Pertinent Activities or Jobs: Tutor/TA
Letters of Recommendation: 2 from research advisors, 1 from math professor
What schools should I aim for? What are realistic tiers of programs that I can get into?
